Energiebesparing Industrie - Naar een energiebesparingsmodel
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Open Access
Type
Report
Language
nl
Date
2000-04-21
Research Projects
Organizational Units
Journal Issue
Title
Energiebesparing Industrie - Naar een
energiebesparingsmodel
Translated Title
Energy-saving by industry
Published in
Abstract
Om meer kennis te ontwikkelen op het gebied van
industriele energiebesparing en op de effectiviteit van beleidsinstrumenten
in dat kader is een onderzoek gestart naar de mogelijke voordelen om de
beschikking te hebben over een eigen rekenmodel. Dit onderzoek richtte zich
op bestaande modellen, determinanten van energiebesparing en empirische
data. De vergelijking tussen NEMO, SAVE en MEI leidde tot eisen en wensen
over de structuur van het nieuw te ontwikkelen model. De determinanten van
energiegebruik zijn in 4 categorieen verdeeld: 1) technische
energiebesparingsmaatregelen (bv. kosten en complexiteit); 2) industriele
sector (bv. innovativiteit en opstelling ten aanzien van milieu- en
energieproblemen); 3) maatschappelijke omgeving (bv. maatschappelijke druk
en activiteiten van belangenorganisaties) en 4) beleidsinstrumenten en
beleidsomgeving (bv. heffingen, subsidies en Meerjaren Afspraken). Het
zoeken naar empirisch materiaal (met name de feitelijke
maatregelimplementatie) en pogingen om het relatieve belang van de
determinanten aantoonbaar en inzichtelijk te maken heeft weinig opgeleverd.
Komende maanden wordt gewerkt aan operationalisatie van een prototype dat
moet uitmonden in een onderzoeksmodel. Het is de bedoeling dat zowel het
prototype als het onderzoeksmodel met de modelsoftware STELLA gebouwd zal
worden. Het onderzoeksmodel moet in staat zijn om energiebesparing en
-vraag voor industriele sectoren te berekenen, gegeven een bepaalde mix van
beleidsinstrumenten, met 'bottom-up' gegevens (op basis van technische
energiebesparingsmaatregelen) en daarbij zoveel mogelijk recht doen aan
besluitvormingsprocessen ten aanzien van investeringen bij
bedrijven.
An exploratory study was carried out to construct an energy-saving model for industrial firms. The desire to gain more insight into industrial energy savings and the influence of policy instruments formed the background to this study into existing energy-saving computer models, determinants of energy use and the search for empirical data. The comparison of the three computer models, NEMO, SAVE and MEI, led to ideas on the desired structure of the model. The determinants of energy use have been divided into four categories: 1) technical energy-saving measures (e.g. complexity, investment costs); 2) industrial sector (e.g. innovation efforts, willingness to invest); 3) social surroundings (e.g. social pressure, activity of environmental interest groups) and 4) policy instruments and policy surroundings (e.g. levies, subsidies, voluntary agreements, enforcement). The search for empirical data was intended, on the one hand, to create awareness of the significance of the determinant intercomparison and, on the other, to discover what data on implementation of measures are really known. Unfortunately, the search for known data yielded very little. However, this study did provide an incentive for structuring a new model that would focus on the 'actors' and their role, energy-saving measures, social surroundings and policy instruments. The intention is to construct a computer model in STELLA software which will be capable of analysing policy instruments according to use (e.g. analysis of non-monetary instruments on their non-monetary merit), and which will incorporate policy implementation and maintenance. The model will also carry out 'bottom up' calculations (i.e. on the basis of measures) and do justice to the decision-making processes in firms. In the coming months, a research model - starting with a prototype- is to be built to meet the functional demands.
An exploratory study was carried out to construct an energy-saving model for industrial firms. The desire to gain more insight into industrial energy savings and the influence of policy instruments formed the background to this study into existing energy-saving computer models, determinants of energy use and the search for empirical data. The comparison of the three computer models, NEMO, SAVE and MEI, led to ideas on the desired structure of the model. The determinants of energy use have been divided into four categories: 1) technical energy-saving measures (e.g. complexity, investment costs); 2) industrial sector (e.g. innovation efforts, willingness to invest); 3) social surroundings (e.g. social pressure, activity of environmental interest groups) and 4) policy instruments and policy surroundings (e.g. levies, subsidies, voluntary agreements, enforcement). The search for empirical data was intended, on the one hand, to create awareness of the significance of the determinant intercomparison and, on the other, to discover what data on implementation of measures are really known. Unfortunately, the search for known data yielded very little. However, this study did provide an incentive for structuring a new model that would focus on the 'actors' and their role, energy-saving measures, social surroundings and policy instruments. The intention is to construct a computer model in STELLA software which will be capable of analysing policy instruments according to use (e.g. analysis of non-monetary instruments on their non-monetary merit), and which will incorporate policy implementation and maintenance. The model will also carry out 'bottom up' calculations (i.e. on the basis of measures) and do justice to the decision-making processes in firms. In the coming months, a research model - starting with a prototype- is to be built to meet the functional demands.
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