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Grant: Alliance Grants

University of Alberta

$103,795.00

Data-driven estimation of the electrical energy flow dynamics of community-shared solar PVs (CSS-PV) associated with net-zero energy-ready (NZEr) communities

EF 2023-24

Résumé
The use of renewable energy sources in buildings in order to reduce greenhouse gas emissions has been widely accepted as an effective strategy, but most such applications are at the building level, and the on-site use of renewable energy resources is less than 30%. To overcome these limitations, community-shared solar energy has gained global popularity in recent years due to its flexibility in implementation and its favourable financial structure. In particular, the concept has grown in popularity among professionals and authorities due to its potential sustainability merits. However, currently there are no available methods that can be used for estimating the energy dynamics of communities that use this technology. The project outlined in this proposal aims to develop a state-of-the-art framework for evaluating (both analytically and experimentally) the energy performance of a new or existing residential community equipped with or planning to install a solar energy system of this kind. One of the key innovations of the proposed framework will be a home energy profile simulation model developed based on minute-by-minute energy consumption and generation data. The simulation of the complicated energy flow of solar energy system performance in northerly climates will provide comprehensive understanding of energy dynamics under different climate conditions. The proposed research will also offer practical guidelines for community-shared solar energy system design. In terms of social benefits, the adoption of renewable energy resources in residential communities, which the proposed research facilitates, is expected to reduce the greenhouse gas emissions resulting from the housing sector. Furthermore, this research project will contribute to Canada's economy by introducing a new technology to the Canadian homebuilding market. Given that the community-shared solar energy system is a relatively novel concept in the local market, it is envisioned that this pioneering development will result in several social benefits such as resolving the negative stigma about the feasibility and economics of solar energy.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
567276-2021
Name nom
Gul, Mustafa M
Department département
Civil and Environmental Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
103795
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
303
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Alternative energy resources
Area of application fr
Autres ressources d'énergie
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Data-driven estimation of the electrical energy flow dynamics of community-shared solar PVs (CSS-PV) associated with net-zero energy-ready (NZEr) communities
Keyword
community-shared solar; load-match; long-term monitoring; machine learning; netzero-energy homes; netzero-ready homes; optimization; prediction; simulation; solar PV
Application summary
The use of renewable energy sources in buildings in order to reduce greenhouse gas emissions has been widely accepted as an effective strategy, but most such applications are at the building level, and the on-site use of renewable energy resources is less than 30%. To overcome these limitations, community-shared solar energy has gained global popularity in recent years due to its flexibility in implementation and its favourable financial structure. In particular, the concept has grown in popularity among professionals and authorities due to its potential sustainability merits. However, currently there are no available methods that can be used for estimating the energy dynamics of communities that use this technology. The project outlined in this proposal aims to develop a state-of-the-art framework for evaluating (both analytically and experimentally) the energy performance of a new or existing residential community equipped with or planning to install a solar energy system of this kind. One of the key innovations of the proposed framework will be a home energy profile simulation model developed based on minute-by-minute energy consumption and generation data. The simulation of the complicated energy flow of solar energy system performance in northerly climates will provide comprehensive understanding of energy dynamics under different climate conditions. The proposed research will also offer practical guidelines for community-shared solar energy system design. In terms of social benefits, the adoption of renewable energy resources in residential communities, which the proposed research facilitates, is expected to reduce the greenhouse gas emissions resulting from the housing sector. Furthermore, this research project will contribute to Canada's economy by introducing a new technology to the Canadian homebuilding market. Given that the community-shared solar energy system is a relatively novel concept in the local market, it is envisioned that this pioneering development will result in several social benefits such as resolving the negative stigma about the feasibility and economics of solar energy.