35 datasets found
  1. i

    Grant Giving Statistics for Solar Village Project Inc.

    • instrumentl.com
    Updated Mar 7, 2022
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    (2022). Grant Giving Statistics for Solar Village Project Inc. [Dataset]. https://www.instrumentl.com/990-report/solar-village-project-inc
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    Dataset updated
    Mar 7, 2022
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Solar Village Project Inc.

  2. e

    Basic measurements of radiation at station Solar Village (1998-09 to...

    • data.europa.eu
    unknown
    Updated Jul 22, 2021
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    PANGAEA (2021). Basic measurements of radiation at station Solar Village (1998-09 to 2002-12), reference list of 51 datasets [Dataset]. https://data.europa.eu/data/datasets/de-pangaea-dataset860279?locale=mt
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    unknownAvailable download formats
    Dataset updated
    Jul 22, 2021
    Dataset authored and provided by
    PANGAEA
    Description

    No description available

  3. i

    Kigoma Solar Power 2013 - Tanzania

    • catalog.ihsn.org
    • microdata.worldbank.org
    Updated Mar 29, 2019
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    Abel Busalama (2019). Kigoma Solar Power 2013 - Tanzania [Dataset]. https://catalog.ihsn.org/catalog/6240
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Abel Busalama
    Time period covered
    2013
    Area covered
    Tanzania
    Description

    Abstract

    The performance evaluation design and implementation will address the following overarching questions across the geography, activity scope and the Project Logic of the Kigoma Solar PV program: i. How well was the program implemented? (Including analysis of Project scope, timing, costs, and public perceptions); were the output targets achieved? If not, why? ii. What type of challenges were encountered during implementations? iii. How well has the solar energy approach addressed the energy needs of the beneficiary population? iv. What are the outcomes of the program on solar energy access, use and costs as well as productivity income etc.? v. How sustainable are the outcomes? vi. What lessons can be learned from the experience of the program? vii. Was the project successful in catalyzing investments in the energy sector in Kigoma? If not what conditions will needs to be in place for the pilot to encourage additional investments? viii. Are there any unplanned results due to the implementation of the Kigoma Solar project?

    In addition to the above the evaluation design and subsequent data gathering activities will address the following key research questions on outcome, objectives and Compact Goal: i. Has the Kigoma Solar Project contributed to an improvement in electricity service coverage across different customer types? ii. Has the Kigoma Solar Project contributed to an improvement in the quality of electricity available, across different customer types? iii. Has the Kigoma Solar Project contributed to an increase in consumption of electricity, across different customer types? iv. Has the Kigoma Solar Project contributed to an increase in investment in economic activities across different customer types? v. Has the Kigoma Solar Project contributed to an improvement in human capital accumulation across different customer types? vi. Has the Kigoma Solar Project contributed to a reduction in poverty across different customer types, as measured by household income per capital?

    The study is also expected to collect data that will feed into the formulation of the Economic Rate of Return (ERR) model for the Kigoma Solar program. This will include data on the sources of energy used prior to the installation of PV systems and their associated prices and quantities data, energy use and cost after the PV installation, ways and purposes for which the system are being used, and energy sources used in homes in the project area.

    Analysis unit

    Community, School, Health Center, Village Market, Enterprise, Household

    Kind of data

    Other

    Sampling procedure

    (a) Stages of sample selection

    The evaluation included institution, business and household surveys. There were three stages of sample selection that were implemented at different levels. The first selection was to adopt the Kigoma Rural and Kasulu districts that are targeted by the program as study areas. The second selection involved sampling of units of observation for the institution, business and household surveys. The third sampling was selection of respondents for fishers, business and households surveys. Sampling of responding units was intervention based. It involved subjects covered by the intervention for the pre-post comparison evaluation method. This was complemented by including communities not covered by the Program as comparison group for assessing baseline status in the additional treatment and comparison groups' evaluation method. However, some facilities were eliminated from the comparison sampling frame because they were too far to get to. Units of observation were selected based on program beneficiaries and stakeholders provided in the ToR.

    The detailed deployment plan for the program was used as sampling frame. The evaluation used Cluster sampling design with stratification because the communities are clusters while the sources of data are stratified into treated and non-treated. For efficiency purposes, villages with most of the types of the solar PV installations (village market, secondary school, dispensary, health centre, BMU and SACCOS) were purposefully be given priority. This was to ensure all types of installations, conduits and beneficiaries are covered by the evaluation. The selection of comparison of groups' villages and facilities was also done purposefully to ensure that they are located far from the target villages and facilities of the program to the extent that they cannot access services provided by the program.

    The first selection was for villages to be covered. The second stage sampling was also done purposefully based on the distribution of installations in the detailed deployment plan for the program as sampling frame and the above sample selection guide. The selection included Beach Managemetn Units (BMUs) that are also given in the detailed deployment plan for the program. It also included selection of SACCOs based on their list obtained from MCA-T and updates by Cooperative Officers of the two districts. Once an institution was sampled as a unit of observation, the head of the institution such Headmaster/mistress was automatically or purposefully selected/identified because we had already planned to interview the institution. The third stage sampling involved selection of units of respondents for outcome indicators namely fishers/boat owners that purchased PV systems through BMUs, Businesses connected to the PV system of the village market, and businesses and households that purchased the PV systems through SACCOs. A total of 170 respondents were selected for the various surveys.

  4. d

    Other measurements at 30 m from station Solar Village (2002-05)

    • search.dataone.org
    • doi.pangaea.de
    Updated Jan 8, 2018
    + more versions
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    Al-Abbadi, Naif; King Abdulaziz City for Science and Technology (2018). Other measurements at 30 m from station Solar Village (2002-05) [Dataset]. http://doi.org/10.1594/PANGAEA.680164
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    Dataset updated
    Jan 8, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Al-Abbadi, Naif; King Abdulaziz City for Science and Technology
    Time period covered
    May 1, 2002 - May 31, 2002
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/71c05a951a24031d8ea859ba19a1a0c6 for complete metadata about this dataset.

  5. t

    Solar Permit Applications

    • data.townofcary.org
    • s.cnmilf.com
    • +1more
    csv, excel, geojson +1
    Updated Jul 14, 2025
    + more versions
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    (2025). Solar Permit Applications [Dataset]. https://data.townofcary.org/explore/dataset/solar-permit-applications/
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    excel, geojson, csv, jsonAvailable download formats
    Dataset updated
    Jul 14, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset contains a subset of data from our Building Permit Application dataset. The data has been filtered to only include permit applications for solar (permit type = PVRS).To learn more about solar energy in Cary check out our Solar Energy webpage.This file is created from the Town of Cary permit application data. It has been created to conform to the BLDS open data specification for building permit data (permitdata.org). In the Town of Cary a permit application may result in the creation of several permits. Rows in this table represent applications for permits, not individual permits. Individual permits may be released as a separate dataset. With the exception of a few fields, we have applied all of the required and preferred fields of the required dataset for permits. This data is updated daily.Used as a part of the Solar, Cary, and You Dashboard

  6. n

    Olar Census 2011

    • gramvikas.nskmultiservices.in
    Updated Mar 1, 2011
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    (2011). Olar Census 2011 [Dataset]. https://gramvikas.nskmultiservices.in/india/odisha/jajapur/badachana/olar
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    Dataset updated
    Mar 1, 2011
    License

    https://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdfhttps://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdf

    Time period covered
    2011
    Description

    Comprehensive population and demographic data for Olar Village

  7. e

    Other measurements at 30 m from station Solar Village (2000-04)

    • data.europa.eu
    unknown
    Updated Oct 6, 2021
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    PANGAEA (2021). Other measurements at 30 m from station Solar Village (2000-04) [Dataset]. https://data.europa.eu/data/datasets/de-pangaea-dataset680139
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    unknownAvailable download formats
    Dataset updated
    Oct 6, 2021
    Dataset authored and provided by
    PANGAEA
    Description

    No description available

  8. k

    KP District Wise Electrification of villages through Solar Energy 2016-2019...

    • opendata.kp.gov.pk
    Updated Jan 8, 2020
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    (2020). KP District Wise Electrification of villages through Solar Energy 2016-2019 - Datasets - KP OpenData Portal [Dataset]. https://opendata.kp.gov.pk/dataset/number-of-villages-electrified-through-solar-energy-in-kp-from-2016-to-2019
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    Dataset updated
    Jan 8, 2020
    Description

    District wise number of villages electrified through solar energy in KP from 2016 to 2019. The file contains the following information: Districts Year Number of Villages Number of Houses

  9. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Jan 9, 2025
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Eximpedia PTE LTD
    Eximpedia Export Import Trade Data
    Authors
    Seair Exim
    Area covered
    Hong Kong, Liberia, Timor-Leste, Burkina Faso, Taiwan, Chad, Norway, Papua New Guinea, Russian Federation, Congo, Haining
    Description

    Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

  10. k

    KP District Wise Electrification of villages through Solar Energy 2019 -...

    • opendata.kp.gov.pk
    Updated Jan 8, 2020
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    (2020). KP District Wise Electrification of villages through Solar Energy 2019 - Datasets - KP OpenData Portal [Dataset]. https://opendata.kp.gov.pk/dataset/kp-district-wise-electrification-of-villages-through-solar-energy-2019
    Explore at:
    Dataset updated
    Jan 8, 2020
    Description

    KP District Wise Electrification of villages through Solar Energy 2019

  11. f

    Evaluating a Conversion to Solar Street Lamps in North Village, Westwood,...

    • figshare.com
    txt
    Updated Jun 15, 2017
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    Kevin Moon; Jacklyn Klaus; Eyal Li; Neel Patel (2017). Evaluating a Conversion to Solar Street Lamps in North Village, Westwood, California [Dataset]. http://doi.org/10.6084/m9.figshare.5051872.v2
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    txtAvailable download formats
    Dataset updated
    Jun 15, 2017
    Dataset provided by
    figshare
    Authors
    Kevin Moon; Jacklyn Klaus; Eyal Li; Neel Patel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California
    Description

    This research consists of producing a report card for the streets in North Village by UCLA in Westwood. The streets were analyzed on the conditions they provided to support solar street lamps. Measurements were taken by already existing lampposts so as to minimize infrastructure changes and the streets were also analyzed through a satellite image. The criteria for each grade on the report card was then defined and each street received a grade based on how well they met the criteria.

  12. k

    KP District Wise number of Solar connections in villages 2018 - Datasets -...

    • opendata.kp.gov.pk
    Updated Jan 8, 2020
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    (2020). KP District Wise number of Solar connections in villages 2018 - Datasets - KP OpenData Portal [Dataset]. https://opendata.kp.gov.pk/dataset/kp-district-wise-number-of-solar-connections-in-villages-2018
    Explore at:
    Dataset updated
    Jan 8, 2020
    Description

    KP District Wise number of Solar connections in villages 2018

  13. Haining Solar Village Water Heater Co Ltd Company profile with phone,email,...

    • volza.com
    csv
    Updated Sep 7, 2025
    + more versions
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    Volza FZ LLC (2025). Haining Solar Village Water Heater Co Ltd Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/haining-solar-village-water-heater-co-ltd-31713520
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    csvAvailable download formats
    Dataset updated
    Sep 7, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Haining Solar Village Water Heater Co Ltd contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  14. Village-Scale Microgrid Housing Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Dataintelo (2025). Village-Scale Microgrid Housing Market Research Report 2033 [Dataset]. https://dataintelo.com/report/village-scale-microgrid-housing-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Village-Scale Microgrid Housing Market Outlook



    According to our latest research, the global village-scale microgrid housing market size reached USD 2.14 billion in 2024, with a robust compound annual growth rate (CAGR) of 13.2% projected through the forecast period. By 2033, the market is anticipated to attain a value of USD 6.17 billion. This impressive growth trajectory is primarily driven by the rising demand for decentralized energy solutions, increasing electrification initiatives in rural and off-grid communities, and the growing adoption of renewable energy technologies worldwide.




    The growth of the village-scale microgrid housing market is fundamentally supported by the urgent need for reliable and sustainable energy access in remote and underserved regions. As global energy demand continues to rise, traditional grid expansion remains economically and logistically challenging, especially in geographically isolated areas. Microgrid solutions offer a viable alternative by enabling localized energy generation, storage, and management. These systems are particularly attractive for rural electrification projects, where they empower communities to achieve energy independence, improve quality of life, and stimulate economic development. Furthermore, the integration of renewable energy sources such as solar and wind within microgrids aligns with international sustainability goals and reduces reliance on fossil fuels, further boosting market adoption.




    Another significant growth driver for the village-scale microgrid housing market is the increasing frequency and intensity of natural disasters, which underscore the vulnerabilities of centralized energy infrastructure. Microgrids, with their ability to operate autonomously and provide resilient power supply during grid outages, have become a preferred solution for disaster relief and emergency response. Governments and humanitarian organizations are increasingly investing in microgrid deployments to ensure rapid electrification and support for displaced populations in crisis situations. This trend is complemented by advancements in smart grid technologies, energy storage, and digital controllers, which enhance the operational efficiency and scalability of village-scale microgrid systems.




    The market's expansion is also fueled by supportive policy frameworks and financial incentives aimed at accelerating rural development and energy transition. Many governments, particularly in developing economies, have launched ambitious programs to promote off-grid electrification and encourage private sector participation in microgrid projects. International development agencies and multilateral banks are providing technical assistance and concessional financing to lower the upfront costs and risks associated with microgrid investments. Additionally, the declining costs of key components such as solar panels and batteries are making microgrid solutions increasingly cost-competitive, further propelling market growth.




    From a regional perspective, Asia Pacific dominates the village-scale microgrid housing market due to the vast rural population, rapid urbanization, and strong government focus on rural electrification. Countries like India, China, Indonesia, and the Philippines are at the forefront of deploying village-scale microgrids to address energy poverty and support sustainable development. North America and Europe are also significant markets, driven by technological innovation, supportive regulatory environments, and growing interest in community-based renewable energy projects. Meanwhile, Africa and Latin America present immense untapped potential, with increasing investments in off-grid solutions to bridge the electrification gap in remote communities.



    Component Analysis



    The component landscape of the village-scale microgrid housing market is characterized by the integration of advanced technologies designed to optimize energy generation, storage, distribution, and management. Solar panels remain the most widely adopted component, owing to their declining costs, scalability, and compatibility with rural settings. Photovoltaic (PV) systems are increasingly being deployed in microgrids to harness abundant solar resources, particularly in regions with high solar insolation. The adoption of high-efficiency panels and bifacial modules is further enhancing the performance and cost-effectiveness of village-scale microgrid installations. These advancem

  15. k

    Electrification of villages through Solar Energy in KP District Chitral 2017...

    • opendata.kp.gov.pk
    Updated Jan 8, 2020
    + more versions
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    (2020). Electrification of villages through Solar Energy in KP District Chitral 2017 - Datasets - KP OpenData Portal [Dataset]. https://opendata.kp.gov.pk/dataset/electrification-of-villages-through-solar-energy-in-kp-district-chitral-2017
    Explore at:
    Dataset updated
    Jan 8, 2020
    Area covered
    Chitral
    Description

    Electrification of villages through Solar Energy in KP District Chitral 2017

  16. M

    Middle East and Africa Solar PV Inverters Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 3, 2025
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    Market Report Analytics (2025). Middle East and Africa Solar PV Inverters Market Report [Dataset]. https://www.marketreportanalytics.com/reports/middle-east-and-africa-solar-pv-inverters-market-100915
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    pdf, ppt, docAvailable download formats
    Dataset updated
    May 3, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Africa, Middle East, Global
    Variables measured
    Market Size
    Description

    The Middle East and Africa Solar PV Inverter market is experiencing robust growth, driven by the region's increasing commitment to renewable energy sources and ambitious targets for solar power deployment. A 7.39% CAGR indicates significant expansion, projected to reach a substantial market value in the coming years. Key drivers include government incentives promoting solar energy adoption, the declining cost of solar photovoltaic (PV) systems, and rising electricity demand in rapidly developing economies. The trend towards larger-scale utility projects fuels demand for central and string inverters, while the residential and commercial sectors show increasing adoption of microinverters due to their efficiency and ease of installation. However, challenges remain, including the intermittent nature of solar power and the need for reliable grid infrastructure to support increased renewable energy integration. Furthermore, high upfront investment costs can hinder widespread adoption in certain regions. Segment-wise, the utility-scale segment is expected to dominate, given the large-scale solar farm developments underway. The UAE and Saudi Arabia, with their substantial investments in renewable energy, represent the largest markets within the region, followed by Israel and other MEA countries exhibiting steady growth. Leading players like Omron, Mitsubishi Electric, FIMER, Siemens, Schneider Electric, Delta Energy Systems, Huawei, and Enphase Energy are vying for market share through technological innovation and strategic partnerships. The market is expected to witness increased competition and consolidation in the coming years, with a focus on providing efficient, reliable, and cost-effective solutions tailored to the specific needs of different market segments within the diverse Middle East and Africa landscape. The forecast period (2025-2033) promises continued expansion, largely driven by increasing government support for renewable energy initiatives across the Middle East and Africa. The consistent decline in solar PV system costs, coupled with rising energy demands in the region, will further propel market growth. Technological advancements in inverter technology, such as higher efficiency and improved grid integration capabilities, will also contribute to the market's expansion. However, factors such as potential grid instability in some areas and the need for skilled workforce for installation and maintenance could pose challenges. Nevertheless, the long-term outlook for the Middle East and Africa Solar PV Inverter market remains positive, with significant opportunities for both established players and new entrants. The market will likely witness a shift toward smart inverters with enhanced monitoring and control capabilities, contributing to improved grid stability and optimized energy production. Recent developments include: August 2022- The completion of another solar project in Syria was reported, which included 1,818 solar panels and 10 inverters for converting energy to power. In the village of Autan, a 1-megawatt solar power station was wired into the power system., January 2022- At the World Future Energy Summit in Abu Dhabi, the Chinese inverter maker Sungrow unveiled its brand-new "1+X" central modular inverter with an output of 1.1MW. The 1+X modular inverter has a DC/ESS interface for connecting energy storage devices and may be stacked into eight units to produce 8.8MW of power (ESS).. Notable trends are: Central Inverters Segment is Expected to Dominate the Market..

  17. v

    VT Data - Town Rooftop Solar Potential - Act 174 2022

    • geodata.vermont.gov
    • sov-vcgi.opendata.arcgis.com
    • +1more
    Updated Jan 6, 2023
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    VT Center for Geographic Information (2023). VT Data - Town Rooftop Solar Potential - Act 174 2022 [Dataset]. https://geodata.vermont.gov/maps/VCGI::vt-data-town-rooftop-solar-potential-act-174-2022
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    Dataset updated
    Jan 6, 2023
    Dataset authored and provided by
    VT Center for Geographic Information
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    (Link to Metadata) This hosted feature layer contains summary information on the rooftop solar radiation and electric productivity potential for each town in Vermont. Units are in Megawatt hours per square meter.

  18. b

    District 7 Solar Street Lighting Project (Rebid)

    • beaconbid.com
    Updated May 22, 2025
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    Village Community Development Districts (2025). District 7 Solar Street Lighting Project (Rebid) [Dataset]. https://www.beaconbid.com/solicitations/village-community-development-districts/5f2ce81c-6eea-440e-a162-b8a03a72d11a/district-solar-street-lighting-project-rebid
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Village Community Development Districts
    License

    https://www.beaconbid.com/index-licensehttps://www.beaconbid.com/index-license

    Time period covered
    Jun 20, 2025
    Description

    Village Community Development Districts is seeking bids for District 7 Solar Street Lighting Project (Rebid) due 2025-06-20T05:00:00.000Z

  19. EPTA – Zhylga Solar Power Plant 20 MW – Ongtustik Qazaqstan

    • store.globaldata.com
    Updated May 24, 2018
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    GlobalData UK Ltd. (2018). EPTA – Zhylga Solar Power Plant 20 MW – Ongtustik Qazaqstan [Dataset]. https://store.globaldata.com/report/epta-zhylga-solar-power-plant-20-mw-ongtustik-qazaqstan/
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    Dataset updated
    May 24, 2018
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2018 - 2022
    Area covered
    Asia-Pacific
    Description

    EkoProTek-Astana TOO (EPTA) is planning to construct a solar power plant in Zhylga village, Saryagash, South Kazakhstan Oblast, Kazakhstan.The project involves the construction of a solar plant with a generation capacity of 20MW, a powerhouse and a substation, the installation of solar panels, transformers and generators, and the laying of transmission lines. Read More

  20. k

    KP District Wise number of Solar connections in villages 2019 - Datasets -...

    • opendata.kp.gov.pk
    Updated Jan 8, 2020
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    (2020). KP District Wise number of Solar connections in villages 2019 - Datasets - KP OpenData Portal [Dataset]. https://opendata.kp.gov.pk/dataset/kp-district-wise-number-of-solar-connections-in-villages-2019
    Explore at:
    Dataset updated
    Jan 8, 2020
    Description

    KP District Wise number of Solar connections in villages 2019

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(2022). Grant Giving Statistics for Solar Village Project Inc. [Dataset]. https://www.instrumentl.com/990-report/solar-village-project-inc

Grant Giving Statistics for Solar Village Project Inc.

Explore at:
Dataset updated
Mar 7, 2022
Variables measured
Total Assets, Total Giving, Average Grant Amount
Description

Financial overview and grant giving statistics of Solar Village Project Inc.

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