Homepage of Trine Krogh Boomsma


Personal information
Name: Trine Krogh Boomsma (maiden name Kristoffersen)
Affiliation:
Department of Mathematical Sciences, University of Copenhagen
Address:
Universitetsparken 5, 2100 Koebenhavn Oe, Denmark
Email:
trine@math.ku.dk

Reseach interests
Stochastic programming; two-stage and multi-stage models; scenario generation and reduction; real options analysis; dynamic programming; energy applications; conventional and renewable power generation; electricity markets; support schemes; operations scheduling; market exchange; investment valuation.


Employment and experience abroad
Jan 2012 - : Associate professor, Department of Mathematical Sciences, University of Copenhagen.
Jul 2010 - Dec 2012: Senior scientist, Risoe National Laboratory of Sustainable Energy, Technical University of Denmark.
Jul 2009 - Jun 2010: Visiting post doc, Centre for Quantitative Finance, Business School, Imperial College, London.
Jun 2009 - Jun 2010: Scientist, Risoe DTU.
Jul 2007 - May 2009: Post doc, Risoe DTU.
Jun 2007: Research assistant, Risoe DTU.
Feb 2003 - Apr 2007: PhD, Mathematics-Economics, Aarhus University.
Jan 2004 - Apr 2004: Visiting PhD, Discrete Mathematics and Optimization, Faculty of Mathematics, University of Duisburg-Essen, Duisburg.

Peer reviewed publications
H. C. Bylling, S. A. Gabriel, T. K. Boomsma. Bilevel Linear Programming Investment Problems with Lower-Level Primal and Dual Variables. Forthcoming, Journal of the Operational Research Society, 2019.
Pantuso, T. K. Boomsma. On the number of stages in multistage stochastic programs. 
Forthcoming, Annals of Operations Research, 2019.
H. Broendbo, A. Storeboe, T. K. Boomsma, C. Skar, S.-E. Fleten. A real options approach to generation capacity expansion in imperfectly competitive electricity markets. Forthcoming, Energy Systems, 2019.
H. C. Bylling, S. Pineda, T. K. Boomsma. The impact of short-term variability and uncertainty on long-term power planning problems. Forthcoming
, Annals of Operations Research, 2019.
S. Pineda, T. K. Boomsma, S. Wogrin, Renewable generation expansion under different support schemes: A stochastic equilibrium approach.
European Journal of Operational Research 288(3), 2018, 1086-1099.
R. Ernstsen, T. K. Boomsma, Valuation of power plants.
European Journal of Operational Research 266(3), 2018, 1153-1174.

R. Ernstsen, T. K. Boomsma, M. Jonnson, A. Skejaa, Hedging volume risk using forward markets for energy. Energy Economics 68, 2017, 490-514.
L. Kitzing, N. Juul, M. S. L. Drud and T. K. Boomsma. A real options approach to analyse wind power investments under di fferent support schemes. Applied Energy 188, 2017, 83-96.

J. A. Petersen, D. M. Heide-Joergensen, N. Detlefsen and T. K. Boomsma. Short-term balancing of supply and demand in an electricity system: Forecasting and scheduling. Annals of Operations Research 238(1), 2016, 449-473.
E. N. Alsnaes, R. Groendahl, S.-E. Fleten and T. K. Boomsma, Insights of actual day-ahead bidding of hydropower. International Journal of Sustainable Energy Planning and Management 7, 2015.
S. Pineda, J. M Morales and T. K. Boomsma, Impact of forecast errors on expansion planning of power systems with a renewable target. European Journal of Operational Research 248(3), 1113-1122, 2015.
T. K. Boomsma, K. Linnerud. Market and policy risk under different renewable electricity support schemes. Energy 89, 435-448, 2015.
N. Juul, G. Pantuso, J. E. B. Iversen and T. K. Boomsma, Strategies for charging electric vehicles in an electricity market. International Journal of Sustainable Energy Planning and Management 7, 2015.
L. Maurovich-Horvat,
A. Siddiqui and T. K. Boomsma, Transmission and wind investment in a deregulated electricity industry. IEEE Transactions on Power Systems 30(3), 1633-1643, 2014.
T. K. Boomsma, N. Juul and S.-E. Fleten, Bidding in sequential electricity markets: The Nordic case. European Journal of Operational Research 238(3), 797-809, 2014.
F. M. Andersen, H. V. Larsen and T. K. Boomsma. Forecasting hourly electricity load: Identification of consumption profiles and segmentation of customers. Energy Conversion and Management 68, 244-252, 2013.
T. K. Boomsma and S.-E. Fleten. Discussion on 'Profit maximization of a power plant'. European Journal of Control 18(1), 55-57, 2012.
T. K. Boomsma, N. Meade and S.-E. Fleten. Renewable energy investments under different support schemes: A real options approach. European Journal of Operational Research 220(1), 225-237, 2012 (2015 EURO Award for the Best EJOR Paper - Innovative Application).
T. K. Kristoffersen, K. Capion and Peter Meibom. Optimal charging of electric drive vehicles in a market environment. Applied Energy 88(5), 1940-1948, 2011.
T. K. Kristoffersen and S.-E. Fleten. Stochastic programming models for short-term power generation and bidding, M. Bjoerndal and M. Ronnqvist (eds.), in: Energy, Natural Resource and Environmental Economics, 187-200, 2010.
K. Vogstad and T. K. Kristoffersen. Investment decisions under uncertainty using stochastic dynamic programming: A case study of wind power, in: A. Iliadis and S. Rebennack, M. Pardalos (eds.), Handbook of Power Systems, 131-142, 2010.
S.-E. Fleten and T. K. Kristoffersen. Short-term hydropower production planning by stochastic programming. Computers & Operations Research 35(8), 2656-2671, 2008.
S.-E. Fleten and T. K. Kristoffersen. Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer. European Journal of Operational Research 181(2), 916-928, 2006.
T. K. Kristoffersen. Deviation measures in linear two-stage stochastic programming. Mathematical methods of Operations Research 62(2), 255-274, 2005. 

Submitted papers, technical reports and mischellaneous
T. K. Boomsma. Comments on: A comparative study of time aggregation techniques in relation to power capacity expansion modeling. Invited comment, TOP, 2019.
H. C. Bylling, S. A. Gabriel, T. K. Boomsma. A parametric programming approach to bilevel electricity expansion problems. Book chapter, 2019.

K. A. Andersen, T. K. Boomsma, L. R. Nielsen. A multi-objective approach to sensitity analysis in mixed-integer programming. Submitted, 2019.

D. M. Heide-Joergensen, P. Pinson, T. K. Boomsma, A dynamic programming approach to the ramp-constrained intra-hour unit commitment problem. Working paper, 2016.
L. Maurovich-Horvat, T. K. Boomsma,
S.-E. Fleten and A. Siddiqui, Transmission and wind investment in a deregulated electricity industry. 10th conference of the European Energy Market (EEM13), Stockholm, 2013.
E. N. Alsnaes, R. Groendahl, , S.-E. Fleten and T. K. Boomsma, The degree of rationality in actual bidding of hydropower at Nord Pool. 10th conference of the European Energy Market (EEM13), Stockholm, 2013.
S. Delikaraoglou, T. K. Boomsma and N. Juul. Optimal charging of electric drive vehicles: A dynamic programming approach. Q. Wu (ed.), in: Grid integration of electric vehicles in open electricity markets, 2013.
N. Juul and T. K. Boomsma. Investment and operation in an integrated power and transport system.
Q. Wu (ed.), in: Grid integration of electric vehicles in open electricity markets, 2013.
T. K. Kristoffersen and P. Meibom. Mathematical programming models for energy system analysis: An introduction. Teaching material. Modelling and Analysis of Sustainable Energy Systems. Technical University of Denmark, 2010.
T.K. Kristoffersen, P. Meibom, and A. Goettig. Estimating tertiary reserves in the Danish electricity system. 8th International Workshop on Large-Scale Integration of Wind Power into the Power Systems as well as on Transmission Networks for Offshore Wind Farms, Bremen, 2009.
T. K. Kristoffersen, H. Larsen, P. Meibom, A. Goettig, J. Apfelbeck, R. Barth, and H. Brand. WP7 Case analysis of operational management of grids. SUPWIND project. Technical report, Technical University of Denmark, 2009. Available at http://supwind.risoe.dk/Results.htm.
A. Gubina, A. Keane, P. Meibom, T. Kristoffersen, and P. Pinson, Advanced tools for the management of electricity grids with large-scale wind generation. ANEMOS.PLUS project. D4.1 Description of the test cases and available data. Technical report, Technical University of Denmark, 2008.
T.K. Kristoffersen, P. Meibom, J. Apfelbeck, R. Barth, and H. Brand. WP3 Prototype development for operational planning tool. SUPWIND project. Technical report, Technical University of Denmark, 2007. Available at http://supwind.risoe.dk/Results.htm.
T. K. Kristoffersen, Stochastic Programming with Applications to Power Systems. PhD thesis, Aarhus University, 2007. Available at http://imf.au.dk/publication/publid/650/.

Awards
EURO Award for the Best EJOR Paper - Innovative Application, 2015.

Teaching
2016-2019: Operations Research 1 (OR1), Bachelor level, University of Copenhagen.
2012, 2013, 2015-2018: Operations Reseach 2: Advanced Operations Research (OR2), Master level, University of Copenhagen.
2013, 2014: Avanced Operations Research: Stochastic Programming, Master and PhD level, University of Copenhagen.
2008, 2010, 2011: Modelling and Analysis of Sustainable Energy Systems, Master level, Risoe DTU.
2008: Stochastic Programming, Master level, external lecturer, University of Copenhagen.
2006: Perspectives in Mathematics-Economics, Bachelor level, University of Aarhus.
2005: Stochastic Programming, Master level, University of Aarhus.


Supervision (Ph.D.)
Henrik Bylling (main supervisor),
Equilibrium and optimization models in renewable-based energy systems, University of Copenhagen, completed 2019.
Rune Ramsdal Ernstsen (
main supervisor), Valuing electricity generation under future market designs, University of Copenhagen, completed 2017.
Ditte Moelgaard Heide-Joergensen (main supervisor), Operations management in short-term power markets, University of Copenhagen, completed 2017.

Supervision (master and bachelor)

Magnus Rimer (co-supervisor),
master thesis, University of Copenhagen, in progress.
Gitte Rasmussen and Josephine
Selch(main supervisor), bachelor thesis, University of Copenhagen, in progress.
Emilie
Christine Werner Popp, (main supervisor), master thesis, University of Copenhagen, in progress.
Anders Moeller Jacobsen
(main supervisor), Optimal offering strategy for wind power in day-ahead market, master thesis, University of Copenhagen,  2019.
Sebastian Larsson
(main supervisor), Optimal kapacitet i elmarkedet, bachelor thesis, University of Copenhagen,  2018.
Gustav Lykke Mortensen
(main supervisor), Solving a timetabling problem for the Faculty of Law by column generation, bachelor thesis, University of Copenhagen,  2018.
Sejla Gracanin (main supervisor), Modeling a scheduling problem, master thesis, University of Copenhagen, 2017.
Cecilie Greisgaard Petersen (main supervisor), Multi-stage stochastic programming for portfolio optimization, master thesis, University of Copenhagen, 2017.
Lasse Baggesgard (co-supervisor), Hydroelectric plant optimization: Stages and scenarios, master thesis, University of Copenhagen, 2017.
Rebecca Helt and Julie Lehmbeck (main supervisor), Linear binary models for a timetabling problem for the Faculty of Law, master thesis, University of Copenhagen, 2017.
Kristoffer Larsen (main supervisor), Wind farm layout optimization with non-linear wake effects, master thesis, University of Copenhagen, 2017.
Eda Guwen (main supervisor), Stochastic vehicle routing problem with stochastic demand, master thesis, University of Copenhagen, 2017.
Ida Mortensen (main supervisor), An integer programming approach to wind farm layout optimization, master thesis, University of Copenhagen, 2016.
Malene Gregers (main supervisor), Multistage asset allocation using SDDP
, master thesis, University of Copenhagen, 2016.
Isabella Munk Billing (co-supervisor), Maximizing customer lifetime value, master thesis,
University of Copenhagen, 2016.
Annika i Boe (main supervisor), A dynamic programming formulation of the unit commitment problem with minimum up- and down-time constraints, bachelor thesis, University of Copenhagen, 2015.
Rebecca Helt and Julie Lehmbeck  (co-supervisor), bachelor thesis, University of Copenhagen, 2014.
Line Worm Christiansen (co-supervisor), bachelor thesis, University of Copenhagen, 2014.
Maria Schioett Eriksen (co-supervisor), Solving the Capacitated Vehicle Routing Problem with Stochastic Demands using Column Generation, master thesis, University of Copenhagen, 2014.
Ada Nzulumike (co-supervisor), Solving the capacitated Stochastic Vehicle Routing Problem with stochastic demands, using the cutting plane method, master thesis, University of Copenhagen, 2014.
Christina Faldt and Tine Vist Salo (main supervisor), Personnel scheduling under uncertainty,
bachelor thesis, University of Copenhagen, 2013.
Eda Guwen
(main supervisor), The travelling salesman problem: A literature study, bachelor thesis, University of Copenhagen, 2013.
Bixiang Lui
(main supervisor), Dynamic programming in electric vehicle operation, bachelor thesis, University of Copenhagen, 2012.
Charlotte Bluhme and Michael Eget
(main supervisor), Dynamic programming in electric vehicle operation, bachelor thesis, University of Copenhagen, 2012.
Michael
Stolbjerg Leni Drud (main supervisor), A stochastic programming approach to bidding wind power into the electricity market, master thesis, University of Copenhagen, 2011.
Karsten Capion
(co-supervisor), Optimized charging of electric vehicles in a market environment, master thesis, Technical University of Denmark, 2009.
Mathilde Louise Barington
(main supervisor), Stokastisk dynamisk programmering, Anvendelsen af stokastisk dynamisk programmering paa vandkraft, bachelor thesis, University of Copenhagen, 2008.
Lotte Gade
(co-supervisor), Stabilitet af scenariegenereringsmetoder, master thesis, Aarhus University, 2007.

Consultancy and project work
Valuations of wind power investments. Consultancy for Agder Energi. 2008.
WP7: Case analysis of operational management of grids. SUPWIND project. Supported by the European Commission under the Sixth Framework Programme. 2008.
Stochastic bidding of a hydropower plant. Consultancy for Agder Energi. 2007.
WP3: Prototype development for operational planning tool. SUPWIND project. Supported by the European Commission under the Sixth Framework Programme. 2007.


Journal peer reviews
EUR J OPER RES, COMPUT OPER RES,
ANN OPER RES, OR Spectrum, Discrete Optimization, Optimization, Journal of Banking and Finance, IEEE T POWER SYST, APPL ENERG, Energy Economics, Journal of Commodity Markets, IET Generation, Transmission & Distribution, Wind Energy, Energy, Energy Policy, Journal of Cleaner Production.

Committees

PhD assessment, Alessio Trivella, Decision making under uncertainty in sustainable energy operations and investments. Technical University of Denmark. 2018.
PhD assessment, Ida Graested Jensen, Value chain optimization in biogas production.
Technical University of Denmark. 2017.
PhD assessment (chair), Sima Mashayekhi, Numerical methods for non-linear PDEs in finance. University of Copenhagen. 2015.
PhD assessment, Luis Baringo, Stochastic complementarity models for investment in wind power and transmission facilities. Univ. Castilla - La Manca. 2013.
PhD assessment, Marco Zugno, Optimization under uncertainty for management of renewables in electricity markets. Technical University of Denmark. 2013. 
PhD assessment (chair), Kenneth Bruhn, Preferences and Design in Insurance and Pensions. University of Copenhagen. 2013.
PhD assessment, Anne Marie Boiden, Optimal financial planning for individual households.
University of Copenhagen. 2011.

Grants and management experience
AHEAD, Analyses of hourly electricity demand, EUDP, 2017-2020. Work package leader. 0.77 mill. DKK (total amount 5.57 mill. DKK).
MULTI-SHARM, Day-ahead bidding with multiple short-term markets,
The Research Council of Norway, 2015-2018. Scientific advisor. 112.500 NOK (total 18.00 mill. NOK).
SAVE-E, Energy savings: Closing the energy efficiency gap, The Danish Council for Strategic Research, 2015-2018. Partner. 212.544 DKK (total amount 16.68 mill. DKK).
RISKY-RES, Investment under uncertainty: EU renewable energy support beyond 2020, The Research Council of Norway, 2013-2016. 100.000 NOK (total 5.56 mill. NOK).
5S, Future Electricity Markets, The Danish Council for Strategic Research, 2013-2017. Partner. 2.32 mill. DKK (total amount 11.00 mill. DKK).
ENSYMORA, Energy systems modelling, analysis and research, The Danish Council for Strategic Research, 2011-2014. Work package leader.
1.56 mil. DKK (total amount 18.85 mil. DKK).
PURELEC, Investment in renewable electricity under climate policy uncertainty, The Research Council of Norway, 2010-2013. Partner.
350.000 NOK (total amount 8.45 mil. NOK).
Real options on renewable energy, Carlsberg Foundation, 2008. Post doctoral grant, 350.000 DK