Abstract:This pioneering Special Issue aims at providing the state-of-the-art on open energy data analytics; its availability in the different contexts, i.e., country peculiarities; and at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer review process and are commented on in this Editorial.
“…Much of these data, as a process, are private and not easily available to the public. Energy engineers and planners must provide the simplest and most powerful tools to collect, process, and analyze data to provide reliable data-based evidence for building, district, and regional-scale future projections for effective system planning [32]. Therefore, this collection, processing, and analysis of data is ultimately presented in terms of total carbon emissions (kgCO 2 e) and carbon emissions per unit area (kgCO 2 e/m 2 ), and these data can be used as open data to contribute to the political, social and economic development of a country [33].…”
Section: Research Purpose and Advantagesmentioning
This study analyzes an office building located in Hangzhou, Zhejiang region, with a high assembly rate of 96.8%. Based on whole-process records and first-hand factory data, using an original method, we empirically investigate the carbon emissions associated to the assembly production and construction phase by comparing the results collected in the field with the calculation results for the simulated non-prefabricated building. The calculation results show that the production and construction stage of the prefabricated office building is characterized by a large reduction in carbon emissions, where the total measured carbon emissions of the subject building were 2265.73 tCO2e, which is 22 kgCO2e/m2 less than that under the non-prefabricated method. In the future development of China’s construction industry, taking Zhejiang Province as an example, the implementation of prefabricated office buildings with a PEC structure system can effectively reduce carbon emissions, which can help China to achieve the carbon peak as soon as possible.
“…Much of these data, as a process, are private and not easily available to the public. Energy engineers and planners must provide the simplest and most powerful tools to collect, process, and analyze data to provide reliable data-based evidence for building, district, and regional-scale future projections for effective system planning [32]. Therefore, this collection, processing, and analysis of data is ultimately presented in terms of total carbon emissions (kgCO 2 e) and carbon emissions per unit area (kgCO 2 e/m 2 ), and these data can be used as open data to contribute to the political, social and economic development of a country [33].…”
Section: Research Purpose and Advantagesmentioning
This study analyzes an office building located in Hangzhou, Zhejiang region, with a high assembly rate of 96.8%. Based on whole-process records and first-hand factory data, using an original method, we empirically investigate the carbon emissions associated to the assembly production and construction phase by comparing the results collected in the field with the calculation results for the simulated non-prefabricated building. The calculation results show that the production and construction stage of the prefabricated office building is characterized by a large reduction in carbon emissions, where the total measured carbon emissions of the subject building were 2265.73 tCO2e, which is 22 kgCO2e/m2 less than that under the non-prefabricated method. In the future development of China’s construction industry, taking Zhejiang Province as an example, the implementation of prefabricated office buildings with a PEC structure system can effectively reduce carbon emissions, which can help China to achieve the carbon peak as soon as possible.
“…An example of such work is the Public Utility Data Library (PUDL). A few isolated initiatives have started in recent years, such as the special issues of some journals (Nastasi et al 2020, Nastasi et al 2021) but they do not yet yield a comprehensive publishing strategy in the field. Also, going beyond descriptive data collections, we see a need for benchmark data that can be used to train machine learning algorithms applied to energy research.…”
Energy enables the functioning of modern society. However, humanity’s reliance on fossil fuels since the industrial revolution has contributed to many societal problems including climate change, environmental degradation and pollution, and the transition to a renewable and carbon-free energy system is one of the grand challenges for the 21st century. The aim of this editorial is to outline the importance of a fast and transparent sharing of energy research and discuss key themes of the Energy Gateway of F1000Research.
“…Anyway, the privacy concerns arising for residential users do not apply to public buildings and facilities. Contrarily, the public disclosure of this data can become a great advantage for both the society and public institutions [1,22,23].…”
Section: State Of the Artmentioning
confidence: 99%
“…The public institution's transparency in pursuing policies coherent with their sustainable development goals can be highly increased if the energy consumption and/or production of these buildings or facilities is automatically and publicly shared on a secure and reliable platforms [1], allowing, on the other hand, to verify the results of the investments made in that direction. In addition, this data-set can be monitored by citizens and shareholders, which can identify critical issues and suggest possible improvements.…”
This paper suggests an application of blockchain as an energy open data ledger, designed to save and track data regarding the energy footprint of public buildings and public energy communities. The developed platform permits writing energy production and consumption of public buildings using blockchain-enabled smart meters. Once authenticated on the blockchain, this data can be made available to the public domain for techno-economic analyses for either research studies and internal or third parties audits, increasing, in this way, the perceived transparency of the public institutions. A further feature of the platform, starting on the previously disclosed raw data, allows calculating, validating, and sharing sustainability indicators of public buildings and facilities, allowing the tracking of their improvements in sustainability goals. The paper also provides the preliminary results of a field-test experimentation of the proposed platform on a group of public buildings, highlighting the possible benefits of its widespread exploitation.
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