D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 31 Citations 4,215 94 World Ranking 5829 National Ranking 42

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Thermodynamics
  • Electrical engineering

Kai Sirén mostly deals with Simulation, Automotive engineering, Thermal conductivity, Heat transfer and Energy. The Simulation study combines topics in areas such as Matching, Coefficient of performance, Building energy simulation and TRNSYS. Kai Sirén has included themes like Building envelope, Thermal comfort, Heat recovery ventilation, Multi-objective optimization and HVAC in his Automotive engineering study.

His research in Heat transfer intersects with topics in Airflow, Heat exchanger and Drop. Kai Sirén combines subjects such as Heat pump, Demand response and Thermal energy storage with his study of Energy. The various areas that Kai Sirén examines in his Heat pump study include Operations research, Storage tank and Thermal energy storage system.

His most cited work include:

  • A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010 (278 citations)
  • A review of the performance of different ventilation and airflow distribution systems in buildings (198 citations)
  • Applying a multi-objective optimization approach for Design of low-emission cost-effective dwellings (171 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Heat pump, Simulation, Thermal energy storage, Heating system and Environmental engineering. His work deals with themes such as Automotive engineering, Electricity, Renewable energy and TRNSYS, which intersect with Heat pump. His study in Automotive engineering is interdisciplinary in nature, drawing from both Building envelope, Electricity generation, Efficient energy use and Demand response.

In his research on the topic of Renewable energy, Solar energy is strongly related with Photovoltaic system. He has researched Simulation in several fields, including Thermal comfort, Matching, Marine engineering, Ventilation and Energy. The concepts of his Heating system study are interwoven with issues in Multi-objective optimization and Process engineering.

He most often published in these fields:

  • Heat pump (16.67%)
  • Simulation (16.67%)
  • Thermal energy storage (13.77%)

What were the highlights of his more recent work (between 2016-2020)?

  • Heat pump (16.67%)
  • Heating system (12.32%)
  • Multi-objective optimization (10.14%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Heat pump, Heating system, Multi-objective optimization, Renewable energy and Electricity. His research integrates issues of Electricity generation, Automotive engineering, Environmental engineering and TRNSYS in his study of Heat pump. His biological study spans a wide range of topics, including Energy consumption, Photovoltaic system, Process engineering and Solar energy.

Many of his studies on Renewable energy apply to Thermal energy storage as well. In his study, Simulation is strongly linked to Electric heating, which falls under the umbrella field of Demand response. As a part of the same scientific study, Kai Sirén usually deals with the Simulation, concentrating on Embodied energy and frequently concerns with Building envelope.

Between 2016 and 2020, his most popular works were:

  • Techno-economic optimization and analysis of a high latitude solar district heating system with seasonal storage, considering different community sizes (37 citations)
  • A life cycle approach to optimizing carbon footprint and costs of a residential building (37 citations)
  • A multi-objective life cycle approach for optimal building design: A case study in Finnish context (35 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010

Mohamed Hamdy;Ala Hasan;Kai Siren.
Energy and Buildings (2013)

411 Citations

A review of the performance of different ventilation and airflow distribution systems in buildings

Guangyu Cao;Hazim B. Awbi;Runming Yao;Yunqing Fan.
Building and Environment (2014)

281 Citations

Applying a multi-objective optimization approach for Design of low-emission cost-effective dwellings

Mohamed Hamdy;Ala Hasan;Kai Siren.
Building and Environment (2011)

256 Citations

Minimisation of life cycle cost of a detached house using combined simulation and optimisation

Ala Hasan;Mika Vuolle;Kai Sirén.
Building and Environment (2008)

231 Citations

Fulfillment of net-zero energy building (NZEB) with four metrics in a single family house with different heating alternatives

Ayman Mohamed;Ala Hasan;Kai Sirén.
Applied Energy (2014)

148 Citations

Theoretical and computational analysis of closed wet cooling towers and its applications in cooling of buildings

Ala Hasan;Kai Sirén.
Energy and Buildings (2002)

128 Citations

Analytical model for melting in a semi-infinite PCM storage with an internal fin

Piia Lamberg;Kai Sirén.
Heat and Mass Transfer (2003)

126 Citations

Impact of simulation time-resolution on the matching of PV production and household electric demand

Sunliang Cao;Kai Sirén.
Applied Energy (2014)

119 Citations

On-site energy matching indices for buildings with energy conversion, storage and hybrid grid connections

Sunliang Cao;Ala Hasan;Kai Sirén.
Energy and Buildings (2013)

114 Citations

Cost-optimal thermal energy storage system for a residential building with heat pump heating and demand response control

Behrang Alimohammadisagvand;Juha Jokisalo;Simo Kilpeläinen;Mubbashir Ali.
Applied Energy (2016)

112 Citations

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