Print Email Facebook Twitter Towards including policy modelling in linear optimization cluster modelling Title Towards including policy modelling in linear optimization cluster modelling: A multi-commodity and inter-cluster perspective Author Wolleswinkel, Willem (TU Delft Technology, Policy and Management) Contributor Stikkelman, R.M. (mentor) Scholten, D.J. (graduation committee) Degree granting institution Delft University of Technology Programme Complex Systems Engineering and Management (CoSEM) Date 2021-08-17 Abstract How well spent is public money concerning sustainability goals? How effective and efficient are these policies? Even though it is widely acknowledged that actions against climate change are urgently needed in the near future, policy makers little insight in how potential policies can be designed most effectively. To evaluate the impacts of sustainability policies on industry, such as carbon taxes and hydrogen subsidies, policies should be included within industrial cluster models. This policy modelling approach leads to effective and efficient use of public finance and time. This research foresees in this demand by applying a module thinking strategy. This allows for the creation of plug-and-play policy modules that can be used in future research to determine the most effective or efficient policy to achieve sustainable industrial clusters. To this end, scope variables are identified that provide buttons to design policies. Future research should focus on validating these scope variables to a further extend and potentially enable generalisation of the policy modules. The authors choice to use linear optimization resulted in only being able to evaluate generation based policies (like feed-in tariffs). Designing also investment based policies (like lump-sum subsidies) requires further attention. Subject Policy modellingIndustrial clusterscommodity networksmulti integer linear programmingLinny-Rpolicy scope variables To reference this document use: http://resolver.tudelft.nl/uuid:3674a587-a887-46e2-9252-9cc139d7e563 Part of collection Student theses Document type master thesis Rights © 2021 Willem Wolleswinkel Files PDF Thesis_TNO.pdf 4.26 MB Close viewer /islandora/object/uuid:3674a587-a887-46e2-9252-9cc139d7e563/datastream/OBJ/view