Energy systems modeling: Trends in research publication

Abstract

This study analyzes 34 tools through 442 publications on energy systems modeling, aiming to identify the most relevant trends in research and the research gaps in energy planning. For detecting these gaps, the publications analyzed were categorized based on pre-defined criteria regarding geographical coverage, sectoral coverage, time horizon, analytical approach and energy source. The categories were designed to be a broad classification with the appropriate level of information required to differentiate between models. The results show that there is a lack of studies concerned with better understanding the energy systems in Africa and South America. Environmentally-oriented publications account for 50.4% of all the publications studied. Modelers have thus shown a greater interest in studying issues related to climate change mitigation than in other areas of the energy chain.

Designing Tools for Energy System Scenario Making in Municipal Energy Planning

“…This necessitates that municipalities have the needed capabilities to conduct energy planning, including access to suitable energy system modelling tools. A plethora of models and tools are available for the simulation of energy systems and design of transition scenarios, but as established by Machado et al [41], modellers have been mostly interested in conducting analyses at the regional and national level. Thus, modelling of municipal energy systems remains an opportunity for further research, and as new tools are developed to deal with the increasing complexity of the renewable energy transition, these should be designed or adapted with compliance to this in mind.…”

Математична Модель Виробництва Електроенергії Енергоблоками АЕС Для Ви- Рішення Завдань Розвитку Електроенергетики України

“…At an arbitrary time , the value of this coefficient is determined by the ratio of the volume of electricity , (1) generated over the reporting period , to the volume of its output by the installed capacity for the same period of time, i.e. , (2) where and are the capacities of the unit , respectively, developed at the time and installed. From the definition (2) follows the equation , (3) which can be used for predictive estimates of the volumes of electricity generation if the function can be predetermined.…”

“…Currently, a comprehensive analysis of various scenarios for the development of power systems is carried out using computer systems for energy modeling and an increasing number of the researchers around the world is involved in the development of them [1][2]. Sufficiently complete and adequate mapping of a set of interrelated processes in mathematical models of energy systems allows us to formulate and solve complex problems of the development of such systems by conducting computational experiments.…”

Assessment of Greenhouse Gases and Pollutant Emissions in the Road Freight Transport Sector: A Case Study for São Paulo State, Brazil

“…Therefore, Latin American, African, and Southeast Asian countries are essential objects of research at the national or regional level. Based on their characteristics and energy infrastructure, analyzing these countries and their potential scenarios would help reach the sustainable development goals [9]. Notwithstanding, without the short-term actions necessary, the expected population growth and rise in energy consumption are most likely to increase greenhouse gases (GHG) emissions and the slow pace of technological progress experienced in these countries [10].…”