H2020Индивидуална стипендия2017–2020

Spatialec · Developing methods to model local area temporal domestic electricity demand

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2017-12-01 → 2020-10-31
Финансиране от ЕС
257 017 €
Участници
2
Схема
MSCA-IF-GF

Линиите свързват координатора с партньорите.

Накратко на български

Методите за модел на потреблението на електроенергия в отделни квартали анализират как устройства като електромобили или топлинни помпи влияят на мрежата. Това помага при планирането на енергийната инфраструктура и намаляването на вредните емисии.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Developing methods to model local area temporal domestic electricity demand

Driven by the need to de-carbonise energy supplies, to reduce overall demand, to shift demand away from systemic or critical peaks and to cope with localised, time-specific and/or intermittent generation, the emerging view of Europe’s (green) smart grid future places substantial emphasis on demand-side response (DR) as a key component of a sustainable electricity system. There is a clear need to develop a modeling framework which can allow regulators, policy researchers and commercial analysts to understand how particular combinations of scenarios might affect electricity infrastructures at varying levels of geographical scale and at different times of the day, week and year. This research responded to this need by developing a microsimulation based approach to demand modeling at the household level and integrates this with known ‘spatialisation’ approaches to develop area level temporal demand profiles. The outcome is a model that can produce not only a local area temporal demand (and potential response) ‘map’ under a range of scenarios but also indicators of the range of responses likely as input to network operator infrastructure management analysis and/or local power generation planning decisions. The work applied the University of Otago’s ‘Energy Cultures’ and ‘GREEN Grid’ research to develop local (neighbourhood) level electricity demand models. The results have been used to analyse the local demand implications of a range of NZ demand response scenarios such as EV uptake, energy efficient lighting or increased heat pump use. In the return phase the approach has been applied to similar data derived from the ‘SAVE’ Low Carbon Network Fund project to produce a generally applicable model for the South East of England. This model has been validated using area level annual demand data and substation monitoring data before being used to model the local area effects of a number of demand response interventions. The work has been disseminated widely with a view to ensuring exploitation through relevant infrastructure and demand response stakeholders.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The objective of this proposal is to implement a programme of research and impact activities intended to provide a step change in the level of understanding of, and modelling capacity for, spatially disaggregated temporal domestic electricity demand in a smart grid and demand response context. This programme will be developed in partnership with internationally recognised experts led by the University of Otago (host) who are pioneering in this field. It will be exploited via an applied research programme at the University of Southampton (beneficiary) which intends to integrate census, social science time use and detailed consumption data to develop local area level demand response models to support the analysis of a range of demand response scenarios. In so doing the fellowship will provide the applicant with a foundation from which to build a new career pathway by applying his substantial existing social scientific data analysis and spatial microsimulation expertise to the development and leadership of a substantial new European research capacity in an area of emerging commercial, societal and political significance.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз