Alessandro Pensini

Alessandro Pensini



Full exploitation of the potential of energy storage and dispatchable distributed energy resources via:

  • Mixed Integer Linear Programming models: the state-of-the-art mathematical techniques for determining optimal schedule and dispatch based on forecasts

  • Advanced rule-based models: for optimal dispatch even in absence of forecasts

  • Cross-domain energy system integration: the electrification energy services traditionally provided outside the electricity domain allows increased flexibility and additional revenues

For wholesale markets participants:

  • Optimal design of storage and distributed resources

  • Optimal bidding strategies for profit maximization on day-ahead electricity markets  

  • Optimal dispatching strategies for profit maximization on balancing markets

  • Grid services provision (demand-response, frequency regulation, grid congestion relief, …)

For retail market participants:

  • Utility cost reduction under variable price tariffs for electric space heating, air conditioning, and refrigeration

For islanded energy system:

  • Optimal design and operation strategies of storage and distributed resources

For energy planners and policy makers:

  • Scenarios definition and simulation of cross-domain energy systems and policies impact (e.g. electrification of transport and space heating sectors)

  • Sensitivity analysis for assisting decision makers



SmartMEA — Funded the Postdoc project

Main research field:

  • Identification, MILP modelling, optimal design and operation, and assessment of smart grid services for distributed energy resources (focus on High Temperature Fuel Cells) in a double-side pool electricity market with firming capacity obligations.

  • Cross-domain energy services integration (electricity, heat, transport, and other fuels)

EcoGrid — Funded the PhD project

Main research fields:

  • MILP formulation and assessment of optimal design and operation  for cross-domain energy services under a 5-minute real-time electricity  market (@DTU)

  • Rule-based formulation and assessment of optimal design for electric space heating driven by excess power (@DTU and University of Delaware)

  • Collective optimized operation of distributed storage with pseudo local pricing for power quality preservation at the scheduling stage (@LBNL and University of New Mexico)



DTU - Technical University of Denmark, Lyngby (DK)

  • Postdoc - December 2014 - present
  • PhD fellow - September 2011 - November 2014

LBNL - Lawrence Berkeley National Laboratory, Berkeley (CA)

  • Visiting researcher - September 2013 - March 2014

CSE S.r.l. - Environmental consultancy, Pavia (IT)

  • Consultant Engineer - November 2007 - July 2008



MSc course in “Emerging Energy Technologies”

  • Future energy systems, smart grid concepts and opportunities in deregulated markets

  • Projects on microgrid modelling in HOMER for integrated and highly renewable grids least-cost design

  • Projects on Model Predictive Control modelling of heat pumps in MATLAB for consumers least-cost operation

PhD/MSc course in “Smart Energy Communities”

  • Microgrid modelling in HOMER for integrated and highly renewable grids least-cost design

MSc course in “Wind Turbine Measurement Techniques”

  • Real-time data logging from a wind turbine using LabVIEW



KTH - Royal Institute of Technology, Stockholm (SE)

  • MSc Degree in Mechanical Engineering: thermodynamic systems modelling and operation (heat pumps and refrigerators)

Universitá degli Studi di Pavia, Pavia (IT)

  • BSc Degree in Electrical Engineering: energy systems modelling and power generation

University of Pécs, Budapest (HU)

  • University Degree in Hungarólogia: Hungarian language and culture  



2011 - 2014 PhD - DTU - Technical University of Denmark
2002 - 2007 BSc Electrical Engineering - Università degli Studi di Pavia, Pavia (Italy)
2006 - 2007 University Diploma in Hungarian Studies - University of Pécs – Balassi Institute, Budapest (Hungary)
2008 - 2010 MSc in Mechanical Engineering - KTH - Royal Institute of Technology, Stockholm (Sweden)

Professional experience

2013 - 2014 Visiting Researcher (LBNL) - Lawrence Berkeley National Laboratory, Berkeley (USA), EETD - Microgrids Lab
2011 - 2014 PhD candidate (DTU) - Technical University of Denmark, Lyngby (Denmark)
2006 - 2006 Trainee - CSE Srl, Pavia (Italy)
2008 - 2008 Engineer (consultant) - CSE Srl, Pavia (Italy)
2010 - 2010 Scholarship Holder - ABS Group, Stockholm (Sweden)


Italian (mother tongue), English (good working knowledge), Spanish (good knowledge), Hungarian (good knowledge)

My links

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  • Applied Energy

    ISSNs: 0306-2619

    Additional searchable ISSN (Electronic): 1872-9118

    Pergamon Press, United Kingdom

    BFI (2018): BFI-level 2, Scopus rating (2016): CiteScore 7.78 SJR 3.058 SNIP 2.573, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Central database


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