The Building Energy Data Book (2011) is a compendium of data from a variety of data sets and includes statistics on residential and commercial building energy consumption. Data tables contain statistics related to construction, building technologies, energy consumption, and building characteristics. The Building Technologies Office (BTO) within the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy developed this resource to provide a comprehensive set of buildings- and energy-related data.

The Data Book has not been updated since 2011.

The data sets comprising the Data Book are now publicly available in user-friendly formats and you can use them to find data relevant to your questions. Please find below a list of Energy Information Administration (EIA) data sets that BTO consults:

• Annual Energy Outlook

  Projections in the Annual Energy Outlook 2015 (AEO2015) focus on the factors expected to shape U.S. energy markets through 2040.

• Monthly Energy Review

  A publication of recent and historical energy statistics.

• Residential Energy Consumption Survey (RECS)

  A nationally representative sample of housing units that specially trained interviewers collect energy characteristics, usage patterns, and household demographics.

• Commercial Buildings Energy Consumption Survey (CBECS)

  A national sample survey that collects information on the stock of U.S. commercial buildings, including their energy-related building characteristics and energy usage data.

Questions about the above resources can be directed to the relevant EIA subject matter expert.

This dataset is about books. It has 1 row and is filtered where the book is Energy efficient buildings : fundamentals of building science and thermal systems. It features 7 columns including author, publication date, language, and book publisher.

This book is the teaching material for the cross-disciplinary professional training course on net zero buildings developed by the Institute of Architecture and Building Research of the Ministry of the Interior. The content is aimed at effectively promoting the building energy efficiency assessment system and developing introductory course materials for professionals in architecture, mechanical and electrical design, construction management, and building inspections, as well as maintenance and property management personnel involved in this project, in order to enhance the energy-saving implementation of our country's buildings and achieve the goal of "Net Zero Building" in stages.

The building energy (BE) management plays an essential role in urban sustainability and smart cities. Recently, the novel data science and data-driven technologies have shown significant progress in analyzing the energy consumption and energy demand datasets for a smarter energy management. The machine learning (ML) and deep learning (DL) methods and applications, in particular, have been promising for the advancement of accurate and high-performance energy models. The present study provides a comprehensive review of ML- and DL-based techniques applied for handling BE systems, and it further evaluates the performance of these techniques. Through a systematic review and a comprehensive taxonomy, the advances of ML and DL-based techniques are carefully investigated, and the promising models are introduced. According to the results obtained for energy demand forecasting, the hybrid and ensemble methods are located in the high-robustness range, SVM-based methods are located in good robustness limitation, ANN-based methods are located in medium-robustness limitation, and linear regression models are located in low-robustness limitations. On the other hand, for energy consumption forecasting, DL-based, hybrid, and ensemble-based models provided the highest robustness score. ANN, SVM, and single ML models provided good and medium robustness, and LR-based models provided a lower robustness score. In addition, for energy load forecasting, LR-based models provided the lower robustness score. The hybrid and ensemble-based models provided a higher robustness score. The DL-based and SVM-based techniques provided a good robustness score, and ANN-based techniques provided a medium robustness score.

This dataset is about books. It has 1 row and is filtered where the book is Energy efficiency and historic buildings. Advice for domestic energy assessors and Green Deal advisors. It features 7 columns including author, publication date, language, and book publisher.

This dataset is about book series. It has 2 rows and is filtered where the books is Active house : smart nearly zero energy buildings. It features 4 columns: authors, books, and publication dates.

This report presents a preliminary assessment of the technical feasibility of utilizing underground thermal energy storage (UTES) and electric-driven heat pumps (EDHPs) to enable flexible behind-the-meter electric demand of buildings while meeting their thermal demands in an energy-efficient manner. With a combined EDHP+UTES system, overproduced renewable power or the electricity generated at off-peak hours can be used to produce useful thermal energy to be stored in the UTES. The stored thermal energy is later utilized directly or through an EDHP to meet buildings? thermal demands during peak hours. Because UTES is underground, it can utilize geothermal energy by enabling geothermal heat pumps, which can meet thermal demands with higher efficiency than conventional space heating and cooling technologies. The EDHP+UTES system, therefore, not only shapes electric demand but also saves energy due to its higher efficiency.

DALEC is a novel, combined lighting and thermal simulation web tool. This tool allows building designers to evaluate their individual façade concepts in terms of thermal and visual performance and ultimately their impact on overall building energy use. Although easy to use, the software accounts for the complex thermal and light processes in buildings, by way of sophisticated and time-saving pre-calculations. Based on climatic data a calculation of heating, cooling and electric lighting loads can be obtained within a simulation time shorter than one second. The model has been validated by comparison with experimental data and other state-of-the-art software and shows deviations less than 15%. Not only energy demand is considered, but also user behaviour (e.g. glare protection), as well as visual and thermal comfort. This innovative, holistic approach facilitates and accelerates the design of sustainable and energy-efficient building for new, as well as for refurbished buildings.

Data for obtained energy savings and cost of different energy efficiency measures, applied in the publication.

This dataset is about book subjects. It has 3 rows and is filtered where the books is Solar energy and building. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Dataset Name:
Literature Data and Archetype Parameter Sheets for the publication, named Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries.

Description:
This dataset includes Excel sheets containing literature sources and archetypal data on GCC countries' residential dwelling typologies.

Files:
The following files are included in the dataset:

• [CountryName]_LiteratureSources.xlsx: Excel sheet containing literature sources and references,
• [CountryName]_ArchetypeParameters.xlsx: Archetype models' semantic, geometric, and technical data used in the generation of energy models,
• [CountryName]_Schedules.xlsx: Excel sheet containing the operation schedules for countries. The sheet is compiled from literature sources and reorganized by expert consensus and given in Designbuilder input format,
• [CountryName]_Stock.xlsx: Excel sheet containing additional data on the building stock,
• VacantHouses.xlsx: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,

Usage:
The dataset is intended for researching and analyzing the GCC countries' residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and [CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.

License:
The dataset is licensed under Creative Commons Attribution 4.0 International.

Citation:
If you use this dataset in your research, please cite it as follows and contact the corresponding author:

Akin, Sahin, Chibuikem Chrysogonus Nwagwu, Niko Heeren, and Edgar Hertwich. 2023. “Archetype-Based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries.” Energy and Buildings 298: 113537. https://doi.org/https://doi.org/10.1016/j.enbuild.2023.113537.

Contact:
The archetypes' energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact sahin.akin@ntnu.no, the corresponding author.

This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Copper is a soft and malleable non-ferrous metal and has been used in construction for hundreds of years. It has high thermal and electric conduction properties.Copper is made by crushing mined copper ores and flash smelting them. The resulting copper sulphite is further heated with oxygen to obtain copper oxide. The latter is heated to obtain blister copper, which is used to cast anodes that are turned into pure copper cathodes through electroplating. These cathodes are melted, roll milled to a very small thickness and fed to a coiler than produces the wire.Copper has multiple uses in construction. Copper wires are used in the majority of electrical cables.

This dataset is about book subjects. It has 3 rows and is filtered where the books is Net zero energy buildings : case studies and lessons learned. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This study investigates to what extent the gender of the enterprise owner impacts the productive use of energy. Specifically, it explores how women and men differ in their productive use within micro, small, and medium-sized enterprises (MSME).

Data collection methodology: - Period: January 2023 to January 2024. - Sampling Approach: Deliberate and convenience sampling. - Data Collection Tool: Structured questionnaire distributed via a web-based platform.

Description of data: The dataset offers a gender-focused analysis of productive energy use, assessing 65 women-owned food and textile businesses across seven African countries: Egypt, Ghana, Kenya, Malawi, Nigeria, Tanzania, and Tunisia. These data complement the research article by providing in-depth insights into energy use patterns and business profiles.

Structure of the dataset: - Sheet 1: This sheet contains the cleaned initial responses from participants, with basic assumptions added for calculation clarity and transparency. - Sheet 2: This sheet contains analysed data and calculations as presented in the accompanying research paper. It covers business profiles, legal statuses of women-owned enterprises, energy use patterns (demand levels, types of energy carriers, access type), and energy expenditure.

Notable findings: 1. Energy carriers: Female-owned businesses typically rely on one or two energy carriers, whereas female-male co-owned enterprises use multiple energy carriers. 2. Fuel use: A variance in fuel use among different ownership structures is observed, with diesel, biomass, and liquefied petroleum gas being notable choices. 3. Awareness and demand levels: Increasing ownership diversity correlates with greater awareness of energy metrics and higher monthly demand for electric and mechanical power. A similar trend - with some variance - is observed for thermal energy. 4. Energy expenditure: Enterprises with diverse ownership structures tend to have lower energy expenditure per kilogram of production output (USD/kg/month). Some sole female-owned enterprises have energy expenditures exceeding 100 USD/kg/month, female-female partnerships may reach 100 USD/kg/month while female-male co-owned enterprises stay below 10 USD/kg/month.

Conclusions and recommendations: This research highlights the importance of understanding gendered productive energy practices and the need for gender mainstreaming in energy access and use interventions. It underscores the necessity for renewable energy solutions and capacity-building programs to address the efficiency and accessibility challenges women entrepreneurs face. Additionally, it recommends further research to enhance the efficiency and sustainability of energy use in women-owned enterprises.

Use of data: Researchers, policymakers, and practitioners can use this data to develop targeted energy access interventions for women-owned MSME, and design renewable energy solutions tailored to the specific needs of female entrepreneurs.

The Vacuum Insulating Glass (VIG) market is experiencing robust growth, driven by increasing demand for energy-efficient building materials and stringent environmental regulations. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $7 billion by 2033. This expansion is fueled by several factors, including the rising adoption of VIG in commercial and residential construction, particularly in regions with extreme climates. Further bolstering market growth is the increasing awareness among consumers and architects regarding the long-term cost savings associated with reduced energy consumption, coupled with the superior thermal performance of VIG compared to traditional double or triple-glazed units. Key players like Nippon Sheet Glass, Guardian Glass, and AGC are investing heavily in R&D to improve VIG production efficiency and expand their product portfolios, driving innovation and competition within the market. Despite the positive outlook, challenges remain. High manufacturing costs and the complexities involved in VIG production are limiting wider adoption. Moreover, the market faces potential restraints from the availability of skilled labor and the need for specialized equipment. However, ongoing technological advancements are expected to alleviate these concerns, leading to improved manufacturing processes and potentially lower production costs. The segmentation of the market reflects this dynamism, with various types of VIG catering to diverse application needs, further impacting the overall growth trajectory. Regional variations in market penetration exist, with North America and Europe currently dominating the market share, but substantial growth potential exists in Asia-Pacific and other emerging economies as building codes and energy efficiency standards continue to evolve.

This dataset is about books. It has 1 row and is filtered where the book is Sustainability, energy and architecture : case studies in realizing green buildings. It features 7 columns including author, publication date, language, and book publisher.

The global aerogel insulation sheet market is experiencing robust growth, driven by increasing demand for energy-efficient building materials and stringent environmental regulations. The market, valued at approximately $250 million in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $800 million by 2033. This expansion is fueled by several key factors. Firstly, the rising awareness of energy conservation and the need to reduce carbon emissions are prompting widespread adoption of high-performance insulation materials like aerogel sheets. Secondly, the superior thermal insulation properties of aerogel, significantly exceeding those of traditional materials like fiberglass, make it an attractive solution for both new construction and retrofitting projects in various sectors, including residential, commercial, and industrial buildings. Furthermore, advancements in aerogel manufacturing processes are leading to cost reductions and improved product performance, further stimulating market growth. The market is segmented by application (building insulation, industrial insulation, transportation), type (granular, blanket, panel), and geography. However, market growth faces certain restraints. The relatively high initial cost compared to conventional insulation materials remains a barrier to widespread adoption, particularly in price-sensitive markets. Concerns about the environmental impact of aerogel production, while being addressed through sustainable manufacturing practices, also require ongoing attention. Competition from alternative insulation materials, along with challenges in scaling up production to meet increasing demand, pose further limitations. Nevertheless, continuous technological innovation, coupled with government initiatives promoting energy efficiency, is expected to mitigate these challenges and propel market expansion in the coming years. Leading companies like Aerogel-IT, TENANOM, and others are actively contributing to innovation, thereby fostering growth within the sector. The geographic distribution of market share is likely skewed towards developed regions with stringent building codes and a greater emphasis on energy efficiency, although emerging economies are expected to show increasing adoption as their economies develop.

This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Polypropylene (PP) is a thermoplastic polymer and second most produced plastic. It has similar properties to polyethylene (PE), including high impact strength and ductility, but is harder and more resistant to heat.PP is produced by polymerising chains of propylene monomers through different catalysts. Different catalysts can result in different PP properties. PP is then moulded or extruded. Different additives can enhance the properties of PP, e.g. antistatic, dust resistant, and colouring.PP is mostly used in construction as a membrane (including as a water vapour membrane).

This dataset is about books. It has 1 row and is filtered where the book is Energy efficiency and historic buildings. Insulating timber-framed walls. It features 4 columns: author, book publisher, and BNB id.

This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Clay bricks are widely used in the construction industry for their strength, affordability and ease of construction. They have high durability, weather and fire resistance, compressive strength, and good thermal/sound insulative properties. The strength of a brick wall is also largely dependent on the quality of the mortar and workmanship.Bricks are made from clay, which is an abundant resource across most of the world. Clay is prepared and mixed to ensure consistent particle size and mineral content. The clay is then extruded, soft moulded or dry pressed into brick shaped forms. The bricks are dried in a temperature and humidity controlled environment, and fired in a high temperature oven/kiln. Coatings, glazing or textures are applied to give the brick its final appearance. The colour of a brick largely depends on the mineral content of the clay and final firing temperature. Bricks are commonly used for external cladding, loadbearing walls, flooring, and other construction elements. Face bricks usually have a decorative or smooth finish, while building/common bricks are used for internal structure. Bricks can also be hollowed, to reduce the volume of the brick and materials needed per unit.