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

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

doi:10.2478/rtuect-2020-0023

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…The scope of research is limited to a number of restrictions linked to engineering and economics [58], [61] and medium to long term time horizon of the model. Inputs, limitations, and scenarios are defined according to the following rules:…”

Section: Goal and Scope Of The Studymentioning

confidence: 99%

Forestry Sector Resource Optimization with TIMES

Laganovska

Feofilovs

Blumberga

2022

Environmental and Climate Technologies

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Latvia’s wood industry is based mainly on three product groups – fuelwood, wood-based panels and furniture. This research adopts the TIMES modelling approach to assess the potential of forestry resources’ contribution to the development of bioeconomy by evaluating different existing and new products. The modelling approach is commonly used for energy systems, however, the study shows the adaptation of TIMES for the forestry sector from the perspective of bioeconomy development analysis, considering wood resource demand in the energy sector and the benefits of higher added value product production. The aim of modelling is to find which are more economically feasible exploitation options and the optimal production amounts for wood and wood by-products, such as biofuels, xylan, and lyocell. The study results show that the potential production of new products with higher added value is compatible with currently existing wood demand trends of three main product groups. The result shows that the lyocell biorefinery scenario has the potential for adding 199.5 million euros to Latvia’s GDP and helps achieve a 30 % increase in the added value of forestry resource use by 2030. To achieve the target, only 140 thousand tons (1.3 %) of total processed wood (total wood commodity is equal to 11 139 thousand tons) is used for lyocell biorefinery due to the high added value of the new product. Despite the various limitations of the model, the obtained results suggest that producing higher added-value products from forestry resources should be considered as a significant long-term supplementary driver of economic growth and bioeconomy development.

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Section: Goal and Scope Of The Studymentioning

confidence: 99%

Forestry Sector Resource Optimization with TIMES

Laganovska

Feofilovs

Blumberga

2022

Environmental and Climate Technologies

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“…Developed TIMES model for energy sector of Latvia includes information about resource prices, amount, GDP, technological data in the transportation, industry, commercial, residential, and agricultural sectors [40]. Biomass is an important alternative energy source in Latvia [41], [42] and also must be considered together with the potential developments for conversion of lignocellulosic biomass into value-added products [43].…”

Section: Literature Reviewmentioning

confidence: 99%

Bioresource Value Model. Case of Fisheries

Žihare

Indzere

Patel

et al. 2021

Environmental and Climate Technologies

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The awareness of bioeconomy role within currently set EU policy targets towards zero carbon emissions and its contribution to achieving the sustainable development goals has been increasing during the last decade. However, it is not always straightforward how the development scenarios for bioeconomy can be evaluated on national level. Moreover, the large number of factors affecting the development of bioconomy is hard to evaluate altogether. Therefore, this study reviews currently available tools for bioresource value modelling in order to select an approach that is suitable for modelling different scenarios of bioeconomy development. As a result of the review, the study presents a methodology, which allows to estimate how higher added values of bioresource products can be achieved in different bioeconomy sectors. The concept of model is tested within a case study of fisheries sector in Latvia. The results of case study show economically viable scenario for added value target set for 2030. The concept of model is found to be adequate, and the use of the defined methodology is appropriate for bioresource value modelling.

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Modelling the transformation of energy-intensive industries based on site-specific investment decisions

Neuwirth,

Fleiter,

Hofmann

2024

Sci Rep

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The transition towards climate-neutral industry is a challenge, particularly for heavy industries like steel and basic chemicals. Existing models for assessing industrial transformation often lack spatial resolution and fail to capture individual investment decisions. Consequently, the spatial interplay between industry transformation, energy availability, infrastructure availability, and the dynamics of discrete investments is inadequately addressed. Here we present a site-specific approach that considers individual industrial sites to simulate discrete investment decisions. The investment decision is modelled as a discrete choice among alternative technologies with their total cost of ownership as the main decision criterion. Process costs depend on the scenario-specific assumptions, such as energy carrier prices, policy instruments and local infrastructures. The age of production units and their reinvestment cycles are considered the main restrictions on the dynamics of the transition. The results provide high spatial resolution to capture the spatial and temporal dynamics of industry transition under varying process and policy assumptions. The presented model and its results can be coupled with energy system models to assess the implications of site-specific industry transition on energy system related research questions. We conduct an exemplary case study for a transformation pathway of the European primary steel production.

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

Cited by 5 publications

References 23 publications

Forestry Sector Resource Optimization with TIMES

Forestry Sector Resource Optimization with TIMES

Bioresource Value Model. Case of Fisheries

Modelling the transformation of energy-intensive industries based on site-specific investment decisions

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