Speeding up Energy System Models - a Best Practice Guide

Background Energy system models (ESM) are widely used in research and industry to analyze todays and future energy systems and potential pathways for the European energy transition. Current studies address future policy design, analysis of technology pathways and of future energy systems. To address these questions and support the transformation of today’s energy systems, ESM have to increase in complexity to provide valuable quantitative insights for policy makers and industry. Especially when dealing with uncertainty and in integrating large shares of renewable energies, ESM require a detailed implementation of the underlying electricity system. The increased complexity of the models makes the application of ESM more and more difficult, as the models are limited by the available computational power of today’s decentralized workstations. Severe simplifications of the models are common strategies to solve problems in a reasonable amount of time – naturally significantly influencing the validity of results and reliability of the models in general. Solutions for Energy-System Modelling Within BEAM-ME a consortium of researchers from different research fields (system analysis, mathematics, operations research and informatics) develop new strategies to increase the computational performance of energy system models and to transform energy system models for usage on high performance computing clusters. Within the project, an ESM will be applied on two of Germany’s fastest supercomputers. To further demonstrate the general application of named techniques on ESM, a model experiment is implemented as part of the project. Within this experiment up to six energy system models will jointly develop, implement and benchmark speed-up methods. Finally, continually collecting all experiences from the project and the experiment, identified efficient strategies will be documented and general standards for increasing computational performance and for applying ESM to high performance computing will be documented in a best-practice guide

How prices guide investment decisions under net purchasing-An empirical analysis on the impact of network tariffs on residential PV

Within the regulation of net purchasing, investment incentives for residential PV depend on the remuneration for grid feed-in and the consumption costs that households can save by self-consumption. Network tariffs constitute a substantial part of these consumption costs. We use postcode-level data for Germany between 2009 and 2017 and exploit the regional heterogeneity of network tariffs to investigate whether they encourage to invest in PV installations and evaluate how the nonlinear tariff structure impacts residential PV adoption. Our results show that network tariffs do impact PV adoption. The effect has increased in recent years when self-consumption has become financially more attractive, and the results confirm the expectation that PV investments are driven by the volumetric tariff. Policy reforms that alter the share between the price components are, thus, likely to affect residential PV adoption. Further, with self-consumption becoming a key incentive, price signals can effectively support the coordination of electricity demand and supply in Germany

Geschäftsmodelle zur Einbindung dezentraler Anlagen auf Haushaltsebene in Virtuelle Kraftwerke

Virtuelle Kraftwerke (VKW) bieten die Möglichkeit, den steigenden Flexibilitätsbedarf des Stromsystems durch die Bündelung dezentraler Erzeugungsanlagen, Speicher und steuerbarer Verbraucher zu decken. Insbesondere die Hebung noch unerschlossener dezentraler Flexibilitätspotenziale auf Haushaltsebene, die durch die Digitalisierung und die Verfügbakeit smarter Technologien ermöglicht wird, eröffnet voraussichtlich zukünftige Geschäftsfelder. In diesem Artikel werden die zu erwartenden technologischen und ökonomischen Entwicklungen skizziert und darauf aufbauend ein Analyserahmen für Geschäftsmodelle Virtueller Kraftwerke vorgestellt

Geschäftsmodelle zur Einbindung dezentraler Anlagen auf Haushaltsebene in Virtuelle Kraftwerke

Virtuelle Kraftwerke (VKW) bieten die Möglichkeit, den steigenden Flexibilitätsbedarf des Stromsystems durch die Bündelung dezentraler Erzeugungsanlagen, Speicher und steuerbarer Verbraucher zu decken. Insbesondere die Hebung noch unerschlossener dezentraler Flexibilitätspotenziale auf Haushaltsebene, die durch die Digitalisierung und die Verfügbakeit smarter Technologien ermöglicht wird, eröffnet voraussichtlich zukünftige Geschäftsfelder. In diesem Artikel werden die zu erwartenden technologischen und ökonomischen Entwicklungen skizziert und darauf aufbauend ein Analyserahmen für Geschäftsmodelle Virtueller Kraftwerke vorgestellt

How to speed-up computing time of energy system models: Key findings from the BEAM-ME project

This paper provides results from the BEAM-ME project. The project was conducted by an interdisciplinary team of energy modelers, software developer, experts in high performance computing and operation research. One aim of the project was to develop a novel approach for distributed computing and application of energy system models to high performance computing. Further the project investigated conceptual speed-up methods. In this paper we provide an overview of the main lessons learned from the different approaches. It outlines difficulties that arise for modelers when applying energy system models based on linear programming on large scale distributed machines. Further it offers suggestions for modelers how speed-up of energy system models could be reached from a modelling perspective. The BEAM-Me project is funded by the German Ministry of Economic Affairs and Energy

Injury burden in individuals aged 50 years or older in the Eastern Mediterranean region, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

Background: Injury poses a major threat to health and longevity in adults aged 50 years or older. The increased life expectancy in the Eastern Mediterranean region warrants a further understanding of the ageing population's inevitable changing health demands and challenges. We aimed to examine injury-related morbidity and mortality among adults aged 50 years or older in 22 Eastern Mediterranean countries. Methods: Drawing on data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we categorised the population into adults aged 50–69 years and adults aged 70 years and older. We examined estimates for transport injuries, self-harm injuries, and unintentional injuries for both age groups, with sex differences reported, and analysed the percentage changes from 1990 to 2019. We reported injury-related mortality rates and disability-adjusted life-years (DALYs). The Socio-demographic Index (SDI) and the Healthcare Access and Quality (HAQ) Index were used to better understand the association of socioeconomic factors and health-care system performance, respectively, with injuries and health status in older people. Healthy life expectancy (HALE) was compared with injury-related deaths and DALYs and to the SDI and HAQ Index to understand the effect of injuries on healthy ageing. Finally, risk factors for injury deaths between 1990 and 2019 were assessed. 95% uncertainty intervals (UIs) are given for all estimates. Findings: Estimated injury mortality rates in the Eastern Mediterranean region exceeded the global rates in 2019, with higher injury mortality rates in males than in females for both age groups. Transport injuries were the leading cause of deaths in adults aged 50–69 years (43·0 [95% UI 31·0–51·8] per 100 000 population) and in adults aged 70 years or older (66·2 [52·5–75·5] per 100 000 population), closely followed by conflict and terrorism for both age groups (10·2 [9·3–11·3] deaths per 100 000 population for 50–69 years and 45·7 [41·5–50·3] deaths per 100 000 population for ≥70 years). The highest annual percentage change in mortality rates due to injury was observed in Afghanistan among people aged 70 years or older (400·4% increase; mortality rate 1109·7 [1017·7–1214·7] per 100 000 population). The leading cause of DALYs was transport injuries for people aged 50–69 years (1798·8 [1394·1–2116·0] per 100 000 population) and unintentional injuries for those aged 70 years or older (2013·2 [1682·2–2408·7] per 100 000 population). The estimates for HALE at 50 years and at 70 years in the Eastern Mediterranean region were lower than global estimates. Eastern Mediterranean countries with the lowest SDIs and HAQ Index values had high prevalence of injury DALYs and ranked the lowest for HALE at 50 years of age and HALE at 70 years. The leading injury mortality risk factors were occupational exposure in people aged 50–69 years and low bone mineral density in those aged 70 years or older. Interpretation: Injuries still pose a real threat to people aged 50 years or older living in the Eastern Mediterranean region, mainly due to transport and violence-related injuries. Dedicated efforts should be implemented to devise injury prevention strategies that are appropriate for older adults and cost-effective injury programmes tailored to the needs and resources of local health-care systems, and to curtail injury-associated risk and promote healthy ageing. Funding: Bill & Melinda Gates Foundation