Below you'll find the most important references for RRE. Most were developed together with my then colleagues from COWI and partners. Get in touch with me if you need a full CV.
My energy references consists mostly of a lot of ad-hoc analysis of quite specialised topics. However, some of them are related to modelling, especially bottom-up optimisation / energy system modelling with models such as Balmorel, TIMES-MARKAL and similar.
| Time & Place | Project description & client |
|---|---|
| 2021 Denmark (link) | Danish Energy - Power Price Outlook 2021: The annual Power Price Outlook presents forecasts of regional electricity prices in 12 Northern European countries in "Green" and "Black" scenarios with high and low CO2 allowance prices. Furthermore, it investigates the impact on electricity prices and Renewable Energy profitability from various Danish political action and inaction concerning electrification, RE investments, hydrogen use and transmission investments. The forecasts were made with the Energy System Model Balmorel. |
| 2019-2020 Denmark (link) | District Heating Assessment Tool (DHAT): The project redesigned an existing spreadsheet model on District Heating and applied it in a pre-feasibility analysis of the district heating potential in four different regions in Turkey, showing that Turkey has some potential for the use of district heating. Client: Danish Energy Agency |
| 2019-2020 Denmark (link) | Security of Supply in power distribution:The project developed a model for describing security-of-supply and cost indicators as a function of asset ageing and reinvestment, calibrated with data on failures of 7 different component types. The model was applied to several Danish Distribution System Operators and used for inputs into the Danish TSO’s annual reporting on security of supply. Client: Dansk Energi |
| 2016-2017 Denmark (link) | Derisking Energy Efficiency Platform (DEEP): The project's purpose was to create a much stronger involvement from large financial institutions into energy efficiency investments by providing much better information on risks, costs and benefits of actual energy efficiency projects, and by streamlining underwriting procedures for such projects. Mikkel developed the prototype model for the DEEP (Derisking Energy Efficiency Platform) tool for assessing the financial costs and benefits from actual investment projects in energy efficiency. Client: European Commission, DG-ENER |
| 2014-2015 Denmark (link) | IntERACT: The project created a detailed bottom-up technical energy use and production model for Denmark using the TIMES modelling software. A custom made Computable General Equilibrium model was linked to the bottom-up model Client: Danish Energy Agency |
| 2008-2016 Denmark (link) | Alternative transport fuels: The project created a standard model for calculation of socioeconomic costs of using alternative fuels for different types of vehicles, such as 1st and 2nd generation biofuels, electricity, hydrogen and e-fuels. The project also updated data from a previous version of the calculations, Over a number of years the model was updated with new data, fuels and vehicles. Client: Danish Energy Agency |
| 2003-2004 Denmark | Applied general equilibrium modelling of emission markets: The purpose of the project was to analyse the economic effects of the European Carbon Emission Trading System with respect to economic activity, competitiveness and international trade. The project utilised a general equilibrium model already deployed at COWI. Client: Danish Environmental Protection Agency |
My water references are focused upon the Water / Food / Energy nexus, as one of my main contributions is the WHAT-IF model for analysing the positive and negative synergies between hydropower and energy, irrigation and water use.
| Time & Place | Project description & client |
|---|---|
| 2019-2020 Denmark | Water Security in Central Asia: In the project, costs and benefits of water infrastructure rehabilitation in Central Asia was analysed using a simple Life Cycle Cost model. The analysed costs and benefits were reported in a policy note. Client: The World Bank |
| 2018 Denmark | Water Equity Dashboard: In the project, a simple Excel Dashboard model was developed in order to highlight costs and benefits and economic equity distribution of different types of sanitation infrastructure. Client: The Bill & Melinda Gates Foundation |
| 2017-2019 Denmark (link) | Zambezi Strategic Plan : Mikkel's part of the project was to further develop and use the Hydro-Economic Model WHAT-IF (Water, Hydropower, Agriculture Tool for Investment and Financing) for assessing the socio-economic value of a large number of investments in energy, water reservoirs, irrigation systems, water supply and sanitation etc. including synergies between different projects. Client: The Zambezi Watercourse Commission |
| 2016-2017 Denmark / Quatar | Qatar Highway Manual: Mikkel developed a generic model for economic optimisation of storm water network capacity for the purpose of balancing the network costs with the expected damages. The model was used for recommendations in the new Qatar Highway manual. Client: Quatari Ministry of Municipality & Urban Planning |
| 2015-2017 Denmark (link) | Strengthening Shardara Multi-Purpose Water Infrastructure in Kazakhstan: Mikkel developed the WHAT-IF water/food/energy nexus optimisation model which can analyse the costs, effects and synergies of improving single and multi-purpose water infrastructure. The project analysed the economic and physical consequences of a number of different infrastructure improvements such as canal lining, sprinkler and drip irrigation, and drainage system refurbishment. Client: OECD Green Action Task Force Secretariat |
| 2013-2014 Denmark / Central Asia | Basin Economic Allocation Model: Development of hydrological optimisation model taking into account trade-off between winter hydro power generation and summer irrigation needs. Client: The World Bank |
| 2005 Turkey | Financial planning of environmental investments: The project concerned Turkish strategic implementation planning aiming at endorsement of coherent and realistic implementation, investment and financing plans for the implementation of the investment-heavy directives of the environmental acquis. The project modelled the Turkish investment and financing need for implementation of water supply, wastewater and municipal solid waste treatment to comply with a number of EU directives using the FEASIBLE model. Client: European Commission, DG-ENV and the Turkish Ministry of Environment and Forestry |
My work witin waste planning and circular economy has two main branches:
| Time & Place | Project description & client |
|---|---|
| 2019 Denmark | Cost calculation of municipal solid waste collection: The project estimated the need for manpower and collection trucks for collecting 7 fractions of source sorted municipal solid waste in Brøndby Municipality. Four different scenarios for collection schemes were developed. Client: Brøndby Kommune |
| 2019-20 Denmark (link) | Business potentials of plastic recycling: The project estimated Danish potentials for recycling of plastic and calculated contributions from different parts of the value chain. Client: Danish Environmental Protection Agency |
| 2017-2018 Denmark (link) | Increasing recycling of household waste: The project analysed different pathways towards increasing recycling rates for Danish household waste. The project specifically analysed and compared paths with different levels of household sorting and automated central sorting. A special focus of the project was the valuation of consumer cost of time use and benefits from more recycling. Client: Danish Environmental Protection Agency |
| 2018 Denmark (link) | Source sorting or co-mingling of waste: The project calculated economic and environmental impacts of different combinations of source sorting and co-mingling of household waste. Client: Danish Environmental Protection Agency |
| 2017 Egypt | Egypt National Solid Waste Management Plan: Mikkel's part of the project was an option analysis of different approaches to treatment of waste (landfilling or mechanical sorting and composting) in two governorates in Egypt. The analysis was done with the optimisation tool SWEEP (Solid Waste Economically Efficient Planning), which optimised plant dimensions transport and transfer plants according to the various options across a 20 years period. With such optimisation it is avoided that arbitrary assumptions on transport logistics and plant sizes affect the results of the option analysis. Client: Egyptian Waste management Regulation Agency |
| 2015-2016 Denmark (link) | Analysis of integrated systems for presorting, transport and centralised sorting of dry materials: The project performed an option analysis of different strategies for collecting and treatment of dry recyclable waste (paper, cardboard, metal, plastic, glass) weighing the three factors collection costs, transport costs and economic efficiency of scale in the treatment plants. In the analysis, 46 municipalities in Sealand was analysed with regards to costs and environmental impact of the collection, transport, treatment and recycling using the SWEEP optimisation model. Client: AffaldPlus / Danish Environmental Protection Agency |
| 2011-2013 Denmark (link) | Cost/benefit analysis of waste management: 15 scenarios were developed for cost benefit and life cycle analysis with different options for collection, sorting and treating household waste. Client: Danish Environmental Protection Agency |
| 2003-2004 Denmark (link) | Municipal solid waste planning - advantages and disadvantages of liberalisation: The purpose of the project was to analyse the consequences of a liberalisation of the Danish waste incineration and deposit industries. The analysis was carried out by developing an original economic locational model of waste processing facilities (SWAHILI - simulating waste handling in liberalisation), which weighted the benefits of increasing the scale of operation against larger transport costs, and compared the existing transport flows with a market based operation of the waste flows. The analysis consisted of a small number of basis scenarios, enhanced with 120 sensitivity scenarios for dealing with the large uncertainties of the calculations. Client: Danish Environmental Protection Agency |