1
|
Moya D, Copara D, Olivo A, Castro C, Giarola S, Hawkes A. MUSE-RASA captures human dimension in climate-energy-economic models via global geoAI-ML agent datasets. Sci Data 2023; 10:693. [PMID: 37828067 PMCID: PMC10570386 DOI: 10.1038/s41597-023-02529-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/31/2023] [Indexed: 10/14/2023] Open
Abstract
This article provides a combined geospatial artificial intelligence-machine learning, geoAI-ML, agent-based, data-driven, technology-rich, bottom-up approach and datasets for capturing the human dimension in climate-energy-economy models. Seven stages were required to conduct this study and build thirteen datasets to characterise and parametrise geospatial agents in 28 regions, globally. Fundamentally, the methodology starts collecting and handling data, ending with the application of the ModUlar energy system Simulation Environment (MUSE), ResidentiAl Spatially-resolved and temporal-explicit Agents (RASA) model. MUSE-RASA uses AI-ML-based geospatial big data analytics to define eight scenarios to explore long-term transition pathways towards net-zero emission targets by mid-century. The framework and datasets are key for climate-energy-economy models considering consumer behaviour and bounded rationality in more realistic decision-making processes beyond traditional approaches. This approach defines energy economic agents as heterogeneous and diverse entities that evolve in space and time, making decisions under exogenous constraints. This framework is based on the Theory of Bounded Rationality, the Theory of Real Competition, the theoretical foundations of agent-based modelling and the progress on the combination of GIS-ABM.
Collapse
Affiliation(s)
- Diego Moya
- Technology Outlook and Strategy, Technology Strategy and Planning Department, Saudi Aramco, Dhahran, 34465, Saudi Arabia.
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BX, UK.
- Institute for Applied Sustainability Research, IIASUR, Quito, 170806, Ecuador.
| | - Dennis Copara
- Institute for Applied Sustainability Research, IIASUR, Quito, 170806, Ecuador
| | - Alexis Olivo
- Institute for Applied Sustainability Research, IIASUR, Quito, 170806, Ecuador
- Departamento de Comunicación e Información, Universidad Oberta de Catalunya, Avenida Tibidabo, Barcelona, 39-43 08035, Spain
| | - Christian Castro
- Carrera de Ingeniería Mecánica, Facultad de Ingeniería Civil y Mecánica, Universidad Técnica de Ambato, Av. Los Chasquis y Río Payamino, Ambato, 180207, Ecuador
| | - Sara Giarola
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BX, UK
- School of Management, Milan, 20156, Italy
- RFF-CMCC EIEE, Milan, 20144, Italy
| | - Adam Hawkes
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BX, UK
| |
Collapse
|
2
|
Yasmeen R, Hao G, Ullah A, Shah WUH, Long Y. The impact of COVID-19 on the US renewable and non-renewable energy consumption: a sectoral analysis based on quantile on quantile regression approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:90419-90434. [PMID: 35870063 PMCID: PMC9307439 DOI: 10.1007/s11356-022-22054-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/12/2022] [Indexed: 04/15/2023]
Abstract
The repercussions of the novel coronavirus (COVID-19) pandemic go well beyond health concerns, affecting virtually every aspect of our lives, including daily energy consumption. Therefore, this study explores the impact of COVID-19 on renewable and non-renewable energy consumption in the USA, which has been severely affected by the recent pandemic. We conducted a detailed analysis of the energy consumption demands of various sectors in response to the COVID-19 outbreak. Our in-depth analysis comprises two parts. Initially, we determine the monthly growth change by utilizing the month-on-month method. Subsequently, we used the quantile-on-quantile approach of Sim and Zhou (2015) on data spanning from December 2019 to August 2021 to explore the impact of COVID-19 on energy consumption across the whole distribution. The study's outcomes underscored that compared to renewable energy, non-renewable energy consumption was more affected by the COVID-19 lockdown, and the overall energy consumption (both renewable and non-renewable) remained low. These findings accentuate global strategic management tools to tackle COVID-19 cooperatively and restore the energy mix. Such measures are critical for energy access, security, and evenhandedness.
Collapse
Affiliation(s)
- Rizwana Yasmeen
- School of Economics and Management, Panzhihua University, Panzhihua, 617000 Sichuan China
| | - Gang Hao
- Department of Management Sciences, City University of Hong Kong, HKSAR, China
| | - Assad Ullah
- School of Economics, Henan University, Kaifeng, China
| | | | - Yunfei Long
- School of Economics and Management, Panzhihua University, Panzhihua, 617000 Sichuan China
| |
Collapse
|
3
|
Investigation on Current and Prospective Energy Transition Scenarios in Indian Landscape Using Integrated SWOT-MCDA Methodology. SUSTAINABILITY 2022. [DOI: 10.3390/su14094940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
India has ambitious goals to increase renewable energy penetration, and significant progress has been made since 2017. However, the Indian energy mix is highly dominated by fossil fuels. To set India on the pathway of the energy transition, a comprehensive analysis of the complex factors influencing the Indian energy sector is required. This study is put forward to delineate the current energy transition scenario in India and to direct the energy sector towards a prospective scenario for accomplishing a smooth energy transition. A hybrid quantitative-qualitative SWOT-integrated MCDA methodology is employed to accomplish the objective of this study. An extensive literature review is performed to understand and sort the various factors under each SWOT category. Fuzzy AHP methodology is utilized to convert the qualitative significance of each SWOT factor into quantitative scores, through which the crucial influencing factor in the current energy transition scenario is obtained. The top three highest-influence factors include utilizing the cost-competitiveness of solar and wind energy technologies over fossil fuels, the inadequacy of manpower having specialized skillsets, and connecting households to electricity and electrifying the transportation sector. The recommendation strategies are framed and presented for prospective energy transition scenarios. These strategies are assessed against the SWOT factors by using the PROMETHEE II methodology. The assessment results highlight that developing robust regulatory and policy frameworks, increasing the contribution of local energy resources, and promoting the distributed generation and grid infrastructure development are the highest-scoring strategies that have a synergic effect on multiple dimensions of energy transition, including political, financial, and techno-economic aspects. The proposed study will be conducive to framing effective policy in the upcoming years to assist the energy transition in India.
Collapse
|
4
|
Jiang P, Fan YV, Klemeš JJ. Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities. APPLIED ENERGY 2021; 285:116441. [PMID: 33519038 PMCID: PMC7834155 DOI: 10.1016/j.apenergy.2021.116441] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 12/16/2020] [Accepted: 01/03/2021] [Indexed: 05/15/2023]
Abstract
COVID-19 has caused great challenges to the energy industry. Potential new practices and social forms being facilitated by the pandemics are having impacts on energy demand and consumption. Spatial and temporal heterogeneities of impacts appear gradually due to the dynamics of pandemics and mitigation measures. This paper overviews the impacts and challenges of COVID-19 pandemics on energy demand and consumption and highlights energy-related lessons and emerging opportunities. The discussion on energy-related issues is divided into four main sections: emergency situation and its impacts, environmental impacts and stabilising energy demand, recovering energy demand, and lessons and emerging opportunities. The changes in energy requirements are compared and analysed from multiple perspectives according to available data and information. In general, although the overall energy demand declines, the spatial and temporal variations are complicated. The energy intensity has presented apparent changes, the extra energy for COVID-19 fighting is non-negligible for stabilising energy demand, and the energy recovery in different regions presents significant differences. A crucial issue has been to allocate and find energy-related emerging opportunities for the post pandemics. This study could offer a direction in opening new avenues for increasing energy efficiency and promoting energy saving.
Collapse
Affiliation(s)
- Peng Jiang
- Department of Systems Science, Institute of High Performance Computing, Agency for Science, Technology and Research (ASTAR), Singapore 138632, Singapore
| | - Yee Van Fan
- Sustainable Process Integration Laboratory - SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic
| | - Jiří Jaromír Klemeš
- Sustainable Process Integration Laboratory - SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic
| |
Collapse
|