Does renewable electricity supply match with energy demand? – A spatio-temporal analysis for the German case

Kockel, Christina; Nolting, Lars; Priesmann, Jan; Praktiknjo, Aaron

doi:10.1016/j.apenergy.2021.118226

Cited by 17 publications

(8 citation statements)

References 33 publications

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“…If heat pumps are operated in such a way that they run during times of low market prices, the power grid is considerably disburdened. Still, a combination of grid expansion 48,49 and electricity storage is necessary, as mandated by the German Federal Network Agency. And in no case should the model be used longer into the future than to the point of about 80% of renewable energy in the grid.…”

Section: Methodsmentioning

confidence: 99%

Replacing gas boilers with heat pumps is the fastest way to cut German gas consumption

Altermatt¹,

Clausen

Brendel

et al. 2023

Commun Earth Environ

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The supply security of fossil gas has been disrupted by the Russo-Ukrainian War. Decisions to relocate the production and transport of gas have become so urgent that new long-term contracts are imminent that undermine the Paris Climate Agreement. Here, we simulate how quickly the addition of renewable electricity and the installation of heat pumps can substitute enough gas to reduce supply risk, while taking a decisive step towards meeting the Paris Agreement. Our bottom-up modelling, using Germany as an example, shows technical pathways on how installing heat pumps is one of the fastest ways to reduce gas consumption, in addition to reducing the load hours of gas-fired power plants. With targeted efforts, maximally 60% of gas from the Russian Federation can be substituted by 2025 with heat pumps and grid expansions, and enough electricity will remain available that the phase-out of coal and the entry into e-mobility will still be practicable.

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Section: Methodsmentioning

confidence: 99%

Replacing gas boilers with heat pumps is the fastest way to cut German gas consumption

Altermatt¹,

Clausen

Brendel

et al. 2023

Commun Earth Environ

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“…In terms of consumption pattern, most studies explore the evolution of terminal consumption structure at spatial scale and its influencing factors. For example, based on the spatial evolution of the consumption structure of four categories of energy (coal, oil, natural gas and electricity), the future spatio-temporal scenarios were discussed (Chishti et al, 2021;Kockel et al, 2022;Mesfun et al, 2018;Muhammad et al, 2021;Teng et al, 2021;Zhang et al, 2021;Zhang et al, 2022a). These two types of research occupy an overwhelming position in space-relevant energy research, which has led to the literature neglecting the endogenous dynamics of micro-category industries.…”

Section: Research Gap: Micro-level Evolutionmentioning

confidence: 99%

Spatial evolution of the energy industry in Hebei province and drivers of green productivity factors

Feng

2022

STET

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Energy security has become the focus of common attention of all countries in the world. It is an effective way to promote the transformation of energy consumption structure from fossil energy consumption to renewable energy consumption at present. Based on the current development status of China, this paper mainly studies the spatial evolution process of the traditional energy and the renewable energy industry in Hebei province from the perspective of space and time, and analyzes the influencing factors in this process. The results are as follows: (1) Moran’s I of the traditional energy industry increased from 0.254515 in 2005 to 0.289301 in 2021. Moran’s I of the renewable energy industry increased from 0.31409 in 2005 to 0.426467 in 2021. This indicates the energy transition in Hebei is progressing. It is worth noting that the wind and solar energy industries are both higher than the national average; (2) the spatial diffusion effect of the energy industry in Hebei province becomes more and more significant with the transformation of regional energy industry, forming a spatial distribution trend of southwest to northeast axial diffusion; (3) from 2005 to 2018, the number of green productivity factors affecting the development of both traditional and renewable energy industries increased from 2 to 6. The transformation process of the energy industry in Hebei province is influenced by different factors in different temporal stages.

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“…On the other, they impose challenges regarding electricity supply-demand mismatch and grid congestion (Staudt et al, 2019;Costa-Campi et al, 2021). Spatially resolved electricity demand and supply profiles are required to gain a better insight into where and when such problems are likely to occur within the different Dutch energy transition scenarios (Kockel et al, 2022;Gils et al, 2019). In turn, this allows for better regional optimization of mitigation options such as energy storage systems, curtailment of PV peak supply and electricity grid reinforcement (van Westering and Hellendoorn, 2020;Bouloumpasis et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Case studies regarding geographical PV potential and suitability have been conducted by other research teams for building-bound PV (Kausika et al, 2017;Lee et al, 2018;Yang et al, 2020), land-bound PV (Mensour et al, 2019;Zhang et al, 2020) and water-bound PV (Tina et al, 2018;Di Grazia and Tina, 2023) for various regions and sites around the world. The suitability studies typically involve a PV potential map combined with a multi-criteria analysis, which might include economic and social factors.…”

Section: Introductionmentioning

confidence: 99%

Spatially resolved generation profiles for building, land and water-bound PV: a case study of four Dutch energy transition scenarios

et al. 2023

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Abstract. Alongside a transition from steerable and centralized traditional electricity generation to intermittent and more decentralized renewable electricity generation from solar panels and wind turbines, Dutch energy transition scenarios project a widespread deployment of heat pumps and electric vehicles towards 2050. While clearly contributing to the decarbonization of the Dutch energy system, these developments impose challenges regarding electricity supply-demand mismatch and grid congestion. Spatially resolved electricity demand and supply profiles are required to gain a better insight into where and when such problems are likely to occur within the different scenarios. The present paper focuses on Dutch solar energy supply and features the construction of geodatabases of scenario-specific, spatially resolved electricity generation profiles for building, land and water-bound PV. Country-level PV capacities are geographically distributed based on spatial variance in roof PV potential and availability of suitable land and water use areas. Corresponding electricity generation profiles are constructed using historical meteorological measurements, a diffuse fraction model and a anisotropic transposition model. Empirically found performance ratio profiles are applied to account for a multitude of performance loss factors, including shading, dust and inverter efficiency. In 2050, building-bound capacity is projected to show only limited overlap with both land-bound and water-bound PV capacity. On the other hand, regions with considerable water-bound PV capacity also tend to show considerable land-bound PV capacity. Compared to the present-day situation, yearly country-level PV electricity generation is projected to be a factor 18.5, 15.7, or 7.7 higher in 2050 when respectively following the Regional, National or International Steering scenarios.

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Does renewable electricity supply match with energy demand? – A spatio-temporal analysis for the German case

Cited by 17 publications

References 33 publications

Replacing gas boilers with heat pumps is the fastest way to cut German gas consumption

Replacing gas boilers with heat pumps is the fastest way to cut German gas consumption

Spatial evolution of the energy industry in Hebei province and drivers of green productivity factors

Spatially resolved generation profiles for building, land and water-bound PV: a case study of four Dutch energy transition scenarios

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