Adaptation of TIMES Model Structure to Industrial, Commercial and Residential Sectors

Dzintars Jaunzems,Andra Blumberga,Gatis Bažbauers,Signe Allena-Ozoliņa,Ritvars Freimanis,Ieva Pakere

doi:10.2478/rtuect-2020-0023

Dzintars Jaunzems, Andra Blumberga + Show 4 more

Open Access

https://doi.org/10.2478/rtuect-2020-0023

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Abstract

Abstract National energy sector management differs from country to country. Therefore, it is important to develop country-specific energy models to analyse the energy demand, structure and potential policy instruments. The paper presents a pathway for adaption and improvement of the standard TIMES model structure to the specific country requirements. The analysis is based on a three-sector (industrial, commercial and residential) case study of Latvia. Literature review presents experience of other research when developing different energy models as well as adapting the TIMES model structure. The main results show a distribution of the final energy consumption and the validation of the obtained results of the sectors studied. Method and intermediate results presented in the paper are part of an ongoing modelling process of Latvia’s energy sector.

Highlights

Consequences of global warming have become more realistic and more prominent in all regions
IND sector in Latvia consists of 13 sub-sectors, of which the most part of energy is used in manufacturing of wood and wood products
It is important to build up an energy model that represents a country-specific situation

Summary

Introduction

Consequences of global warming have become more realistic and more prominent in all regions. Energy production is one of the main driver of global warming which is related to all other sectors. Different energy models can play a crucial role when developing energy planning strategies. Researchers from China have created the multi-sectoral energy model merging electricity, transportation, heat and industrial sectors to model decarbonisation of an energy system [1]. Often researchers combine different types of models, for example, technically detailed bottom-up and top-down models that simulate demand and prices on energy [2], [3]. The system dynamic approach has been used to model the transition from fossil fuels to renewable energy resources by taking into account different techno-economic parameters, political and social aspects, as well as human behavior [4]

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