Esa Pursiheimo

20052019
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District heating Engineering & Materials Science
Biomass Engineering & Materials Science
Cooling Engineering & Materials Science
Electricity Engineering & Materials Science
Planning Engineering & Materials Science
Solar energy Engineering & Materials Science
Costs Engineering & Materials Science
Economics Engineering & Materials Science

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Projects 2016 2019

Research Output 2005 2019

  • 13 Report
  • 6 Article
  • 1 Conference article in proceedings
  • 1 Conference abstract in proceedings
1 Citation (Scopus)
District heating
Cooling
Economics
Pumps
Profitability
7 Citations (Scopus)

Inter-sectoral effects of high renewable energy share in global energy system

Pursiheimo, E., Holttinen, H. & Koljonen, T., 1 Jun 2019, In : Renewable Energy. 136, p. 1119-1129 11 p.

Research output: Contribution to journalArticleScientificpeer-review

Electricity
Solar energy
Power generation
Biomass
Synthetic fuels

Robust decision making analysis of BECCS (bio-CLC)in a district heating and cooling grid

Lindroos, T. J., Rydén, M., Langørgen, Ø., Pursiheimo, E. & Pikkarainen, T., 2019, In : Sustainable Energy Technologies and Assessments. 34, p. 157-172 16 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Carbon capture
District heating
Decision making
Cooling
Biomass
1 Citation (Scopus)

Role of power to liquids and biomass to liquids in a nearly renewable energy system

Ikäheimo, J., Pursiheimo, E., Kiviluoma, J. & Holttinen, H., 9 May 2019, In : IET Renewable Power Generation. 13, 7, p. 1179-1189 11 p.

Research output: Contribution to journalArticleScientificpeer-review

Synthetic fuels
Liquid fuels
Biomass
Liquids
Heat storage

New tool for planning district cooling systems

Rämä, M., Pursiheimo, E., Sokka, L. & Klobut, K., 2018, Digital Proceedings 13th SDEWES Conference. p. 0619-1-10 10 p. 619

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsProfessional

Cooling systems
Planning
Cooling
Gas emissions
Electric power distribution