mdh.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Campana, Pietro EliaORCID iD iconorcid.org/0000-0002-1351-9245
Alternative names
Publications (10 of 80) Show all publications
Prabaharan, N., Campana, P. E., Jerin, A. & Palanisamy, K. (2019). A new approach for grid integration of solar photovoltaic system with maximum power point tracking using multi‐output converter. In: : . Paper presented at Renewable Energy Integration with Mini/Microgrid REM2018 (pp. 521-526). , 159
Open this publication in new window or tab >>A new approach for grid integration of solar photovoltaic system with maximum power point tracking using multi‐output converter
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a new approach for grid integration of solar photovoltaic system using modified incremental conductance maximum power point tracking algorithm with multi-output converter and multilevel inverter. The multi-output converter is a combination of boost converter and switched capacitor function to generate different self-balanced output voltages using single switch, single inductor, 2N-1 diodes and 2N-1 capacitors. This topology is proposed to be used as DC link in applications where several controlled voltage levels are required with self-balancing and unidirectional current flow, such as photovoltaic (PV) or fuel cell generation systems with multilevel inverter. The utilization of multilevel inverter in the proposed system provides better quality of output voltage and current waveform thereby reducing the size of passive filters. Also, it eliminates the requirement of bulky transformers for grid integration. Multicarrier unipolar phase disposition pulse width modulation technique is employed for triggering the switches of the multilevel inverter. The proposed system is tested with standard test conditions using MATLAB/SIMULINK.

Series
Energy Procedia, ISSN 1876-6102
Keywords
converter; grid integration; inverter; multilevel inverter; photovoltaic; solar
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41681 (URN)10.1016/j.egypro.2018.12.005 (DOI)000471291100085 ()2-s2.0-85063796062 (Scopus ID)
Conference
Renewable Energy Integration with Mini/Microgrid REM2018
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2019-07-11Bibliographically approved
Yan, J., Yang, Y., Campana, P. E. & He, J. (2019). City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China. Nature Energy, 4(8), 709-717
Open this publication in new window or tab >>City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China
2019 (English)In: Nature Energy, ISSN 2058-7546, Vol. 4, no 8, p. 709-717Article in journal (Refereed) Published
Abstract [en]

In recent years, China has become not just a large producer but a major market for solar photovoltaics (PV), increasing interest in solar electricity prices in China. The cost of solar PV electricity generation is affected by many local factors, making it a challenge to understand whether China has reached the threshold at which a grid-connected solar PV system supplies electricity to the end user at the same price as grid-supplied power or the price of desulfurized coal electricity, or even lower. Here, we analyse the net costs and net profits associated with building and operating a distributed solar PV project over its lifetime, taking into consideration total project investments, electricity outputs and trading prices in 344 prefecture-level Chinese cities. We reveal that all of these cities can achieve—without subsidies—solar PV electricity prices lower than grid-supplied prices, and around 22% of the cities’ solar generation electricity prices can compete with desulfurized coal benchmark electricity prices.

Place, publisher, year, edition, pages
Nature Publishing Group, 2019
Keywords
Commerce, Electric power generation, Electric power transmission networks, Profitability, Solar concentrators, Solar energy, Solar power generation, Coal electricities, Electricity generation, Electricity output, Electricity prices, Solar electricity, Solar photovoltaic electricity, Solar photovoltaics, Solar PV systems, Costs
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-45100 (URN)10.1038/s41560-019-0441-z (DOI)000481484400019 ()2-s2.0-85070785396 (Scopus ID)
Available from: 2019-08-28 Created: 2019-08-28 Last updated: 2019-10-11
Zhang, C., Campana, P. E., Liu, C., Wang, K. & Yan, J. (2019). Crowdfunding preferences for a sustainable milk product with integrated photovoltaic water pumping system in China. Applied Energy, 255, Article ID 113694.
Open this publication in new window or tab >>Crowdfunding preferences for a sustainable milk product with integrated photovoltaic water pumping system in China
Show others...
2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 255, article id 113694Article in journal (Refereed) Published
Abstract [en]

This paper studies the role of potential investors in financing renewable energy systems—specifically, relating to crowdfunding as a financing mechanism, with the enhancement of internet and social-media tools. The research question in this study is whether crowdfunding with a novel socio-technical product reward program attracts potential customers to a more sustainable milk product with a specific integrated photovoltaic water pumping (PVWP) system. The particular case study we empirically investigated is product reward crowdfunding in dairy milk production in China. The milk production chain was supplied by PVWP system integration, which generated solar energy both for feed production for dairy cows and for the operation of dairy farms. 48 semi-structured in-depth interviews were conducted between the research team and customers in order to perform qualitative analyses of the determinants of customers’ milk purchase behaviors. In addition, 357 online surveys were collected for quantitative analysis. Binary and ordered probit regressions were employed to use survey date to systematically estimate purchase intention and willingness-to-pay for sustainable milk. Customer behaviors, environmental consciousness, and individual socio-demographic factors were investigated as potential explanatory variables. Over 82% of the survey participants showed intentions to purchase the sustainable milk with the PVWP system. In the survey and interview samples, results showed that milk quality, nutrition improvement, emissions reduction, and environmental benefits attributed to the integrated PVWP system were the major factors considered by interviewees who showed intentions to purchase the crowdfunded dairy milk. Regression model results suggested that potential customers with higher income levels, and those of parenting age, and those with young children or planning to have children, had a higher willingness-to-pay than other customers for the crowdfunded sustainable dairy milk. The familiarity with and popularity of online shopping and pre-sale purchases in China made customers more open to and proactive towards pre-pay and crowdfunding mechanisms. This article evaluated key factors which may influence potential customers for crowdfunding, and used a discrete choice model to estimate customers’ willingness-to-pay for reward-based projects. These results could help producers of sustainable milk products to identify potential target groups in China and estimate market demand. This exploratory study could provide a framework with both quantitative and qualitative assessment of crowdfunding for renewable energy systems in a national or international context. 

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
National Category
Energy Systems
Identifiers
urn:nbn:se:mdh:diva-45257 (URN)10.1016/j.apenergy.2019.113694 (DOI)2-s2.0-85071887585 (Scopus ID)
Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-09-19Bibliographically approved
Abas, N., Kalair, A. R., Seyedmahmoudian, M., Naqvi, M., Campana, P. E. & Khan, N. (2019). Dynamic simulation of solar water heating system using supercritical CO2 as mediating fluid under sub-zero temperature conditions. Applied Thermal Engineering, 161, Article ID 114152.
Open this publication in new window or tab >>Dynamic simulation of solar water heating system using supercritical CO2 as mediating fluid under sub-zero temperature conditions
Show others...
2019 (English)In: Applied Thermal Engineering, ISSN 1359-4311, E-ISSN 1873-5606, Vol. 161, article id 114152Article in journal (Refereed) Published
Abstract [en]

CO2 is becoming increasingly important as a mediating fluid, and simulation studies are indispensable for corresponding developments. In this study, a simulation-based performance investigation of a solar water heating system using CO2 as a mediating fluid under sub-zero temperature condition is performed using the TRNSYS® software. The maximum performance is achieved at a solar savings fraction of 0.83 during July. The as lowest solar savingss fraction of 0.41 is obtained during December. The annual heat production of the proposed system under Fargo climate is estimated to be about 2545 kWh. An evacuated glass tube solar collector is designed, fabricated and tested for various climate conditions. Moreover, a detailed comparison of the system's performance at sub/supercritical and supercritical pressures shows that the annual heat transfer efficiency of the modeled system is 10% higher at supercritical pressure than at sub/supercritical pressures. This result can be attributd to the strong convection flow of CO2 caused by density inhomogeneities, especially in the near critical region. This condition resuls in high heat transfer rates.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
Keywords
NatRef, Refrigerant, Solar water heating, Sub-zero temperature, Supercritical CO2
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-45099 (URN)10.1016/j.applthermaleng.2019.114152 (DOI)2-s2.0-85070810540 (Scopus ID)
Available from: 2019-08-28 Created: 2019-08-28 Last updated: 2019-08-28Bibliographically approved
Mancuso, M. V., Campana, P. E. & Yan, J. (2019). Evaluation of Grid-Connected Micro-Grid Operational Strategies. In: : . Paper presented at 10th International Conference on Applied Energy (ICAE2018) (pp. 1273-1278). , 158
Open this publication in new window or tab >>Evaluation of Grid-Connected Micro-Grid Operational Strategies
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This study investigates the operational performances of a grid-connected microgrid with integrated solar photovoltaic and battery energy storage. The study is based upon the techno-economic specifications and theoretical performance of the distributed energy resource and storage systems, as well as on measured consumer load data and electrical utility retail and distribution data for representative residential and commercial loads for the city of Västerås, Sweden. The open-source Matlab®-based simulation tool, OptiCE, is used for performing simulations and optimization. To support the attainment of one of the objectives, peak shaving of the consumer load, a battery operational strategy algorithm has been developed to balance peak shaving and PV self-consumption. Comparisons among three types of battery, lead-acid, lithium-ion and vanadium-redox flow, are also performed. A 117 kW p photovoltaic system paired with a lithium-ion battery of 41.1 kWh capacity is the optimal solution found for the considered commercial load. The calculated battery capacity represents the best trade-off for the set multi-objective optimization problem. The simulation of this system predicts the possibility to shave the customer load profile peaks up to 20% for the month of April. The corresponding self-consumption ratio is 88%. Differences in the relationship between the load profiles and the system performance have been qualitatively noted. Furthermore, the simulation results for lead-acid, lithium-ion and vanadium-redox flow battery systems reveal that lithium-ion batteries delivers the best trade-off between total annualized cost and peak shaving performance for both residential and commercial applications.

Series
Energy Procedia, ISSN 1876-6102
Keywords
Battery; Microgrid; Optimization; Peak shaving; Photovoltaic
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41690 (URN)10.1016/j.egypro.2019.01.315 (DOI)000471031701099 ()2-s2.0-85063866890 (Scopus ID)
Conference
10th International Conference on Applied Energy (ICAE2018)
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2019-07-11Bibliographically approved
Campana, P. E., Wästhage, L., Nookuea, W., Tan, Y. & Yan, J. (2019). Optimization and assessment of floating and floating-tracking PV systems integrated in on- and off-grid hybrid energy systems. Solar Energy, 177, 782-795
Open this publication in new window or tab >>Optimization and assessment of floating and floating-tracking PV systems integrated in on- and off-grid hybrid energy systems
Show others...
2019 (English)In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 177, p. 782-795Article in journal (Refereed) Published
Abstract [en]

Considering the targets of Thailand in terms of renewable energy exploitation and decarbonization of the shrimp farming sector, this work evaluates several scenarios for optimal integration of hybrid renewable energy systems into a representative shrimp farm. In particular, floating and floating-tracking PV systems are considered as alternatives for the exploitation of solar energy to meet the shrimp farm electricity demand. By developing a dynamic techno-economic simulation and optimization model, the following renewable energy systems have been evaluated: PV and wind based hybrid energy systems, off-grid and on-grid PV based hybrid energy systems, ground mounted and floating PV based hybrid energy systems, and floating and floating-tracking PV based hybrid energy systems. From a water-energy nexus viewpoint, floating PV systems have shown significant impacts on the reduction of evaporation losses, even if the energy savings for water pumping are moderate due to the low hydraulic head. Nevertheless, the study on the synergies between water for food and power production has highlighted that the integration of floating PV represents a key solution for reducing the environmental impacts of shrimp farming. For the selected location, the results have shown that PV systems represent the best renewable solution to be integrated into a hybrid energy system due to the abundance of solar energy resources as compared to the moderate wind resources. The integration of PV systems in off-grid configurations allows to reach high renewable reliabilities up to 40% by reducing the levelized cost of electricity. Higher renewable reliabilities can only be achieved by integrating energy storage solutions but leading to higher levelized cost of electricity. Although the floating-tracking PV systems show higher investment costs as compared to the reference floating PV systems, both solutions show similar competiveness for reliabilities up to 45% due to the higher electricity production of the floating-tracking PV systems. The higher electricity production from the floating-tracking PV systems leads to a better competitiveness for reliabilities higher than 90% due to lower capacity requirements for the storage systems.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
Keywords
Floating photovoltaics, Optimization, Shrimp farming, Thailand
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41773 (URN)10.1016/j.solener.2018.11.045 (DOI)000456222500077 ()2-s2.0-85057745302 (Scopus ID)
Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2019-10-14Bibliographically approved
Benavente, F., Lundblad, A., Campana, P. E., Zhang, Y., Cabrera, S. & Lindbergh, G. (2019). Photovoltaic/battery system sizing for rural electrification in Bolivia: Considering the suppressed demand effect. Applied Energy, 235, 519-528
Open this publication in new window or tab >>Photovoltaic/battery system sizing for rural electrification in Bolivia: Considering the suppressed demand effect
Show others...
2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 235, p. 519-528Article in journal (Refereed) Published
Abstract [en]

Rural electrification programs usually do not consider the impact that the increment of demand has on the reliability of off-grid photovoltaic (PV)/battery systems. Based on meteorological data and electricity consumption profiles from the highlands of Bolivian Altiplano, this paper presents a modelling and simulation framework for analysing the performance and reliability of such systems. Reliability, as loss of power supply probability (LPSP), and cost were calculated using simulated PV power output and battery state of charge profiles. The effect of increasing the suppressed demand (SD) by 20% and 50% was studied to determine how reliable and resilient the system designs are. Simulations were performed for three rural application scenarios: a household, a school, and a health centre. Results for the household and school scenarios indicate that, to overcome the SD effect, it is more cost-effective to increase the PV power rather than to increase the battery capacity. However, with an increased PV-size, the battery ageing rate would be higher since the cycles are performed at high state of charge (SOC). For the health centre application, on the other hand, an increase in battery capacity prevents the risk of electricity blackouts while increasing the energy reliability of the system. These results provide important insights for the application design of off-grid PV-battery systems in rural electrification projects, enabling a more efficient and reliable source of electricity.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-42422 (URN)10.1016/j.apenergy.2018.10.084 (DOI)000458942800043 ()2-s2.0-85056217184 (Scopus ID)
Available from: 2019-01-25 Created: 2019-01-25 Last updated: 2019-03-14Bibliographically approved
Benavente, F., Lundblad, A., Campana, P. E., Zhang, Y., Cabrera, S. & Lindbergh, G. (2019). Photovoltaic/battery system sizing for rural electrification in Bolivia: Considering the suppressed demand effect. Applied Energy, 235, 519-528
Open this publication in new window or tab >>Photovoltaic/battery system sizing for rural electrification in Bolivia: Considering the suppressed demand effect
Show others...
2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 235, p. 519-528Article in journal (Refereed) Published
Abstract [en]

Rural electrification programs usually do not consider the impact that the increment of demand has on the reliability of off-grid photovoltaic (PV)/battery systems. Based on meteorological data and electricity consumption profiles from the highlands of Bolivian Altiplano, this paper presents a modelling and simulation framework for analysing the performance and reliability of such systems. Reliability, as loss of power supply probability (LPSP), and cost were calculated using simulated PV power output and battery state of charge profiles. The effect of increasing the suppressed demand (SD) by 20% and 50% was studied to determine how reliable and resilient the system designs are. Simulations were performed for three rural application scenarios: a household, a school, and a health centre. Results for the household and school scenarios indicate that, to overcome the SD effect, it is more cost-effective to increase the PV power rather than to increase the battery capacity. However, with an increased PV-size, the battery ageing rate would be higher since the cycles are performed at high state of charge (SOC). For the health centre application, on the other hand, an increase in battery capacity prevents the risk of electricity blackouts while increasing the energy reliability of the system. These results provide important insights for the application design of off-grid PV-battery systems in rural electrification projects, enabling a more efficient and reliable source of electricity. 

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
Keywords
Energy storage, Li ion batteries, Photovoltaic, Renewable energy, Rural electrification, State of charge
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Systems Telecommunications
Identifiers
urn:nbn:se:mdh:diva-41387 (URN)10.1016/j.apenergy.2018.10.084 (DOI)2-s2.0-85056217184 (Scopus ID)
Available from: 2019-10-18 Created: 2019-10-18 Last updated: 2019-10-18
Zhang, C., Campana, P. E., Liu, C., Wang, K., Zhang, Y. & Yan, J. (2019). Purchase Intention for Crowd-funded Milk Products with Integrated Photovoltaic Water Pumping Systems in China. In: Energy Procedia: . Paper presented at Applied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrids, REM 2018, 29–30 September 2018, Rhodes, Greece (pp. 503-508). Elsevier Ltd, 159
Open this publication in new window or tab >>Purchase Intention for Crowd-funded Milk Products with Integrated Photovoltaic Water Pumping Systems in China
Show others...
2019 (English)In: Energy Procedia, Elsevier Ltd , 2019, Vol. 159, p. 503-508Conference paper, Published paper (Refereed)
Abstract [en]

In comparison with current financing mechanisms for renewable energy systems, crowd-funding financing mechanism offers a new potential source of financing with recent use of social media. Crowd-funding financing mechanism can also increases the social supports for renewable energy systems as users and investors turn to be more actively engaged in energy systems. As a new potential source of financing, crowd-funding mechanism has different forms, including donation, lending, equity and product reward approaches. In this paper, discrete choice model was used to explore whether crowd-funding financing with a novel sociotechnical product reward practice, has the attractions for potential customers to pay for a more sustainable milk product with distributed photovoltaic (PV) system. We empirically investigated the reward-base crowd funding with the specific integrated photovoltaic water pumping (PVWP) system in dairy milk production in China. 48 in-depth interviews were adopted for qualitative analysis of determinants of customer milk purchase decision. The ordered probit regression was employed with 357 online surveys to systematically estimate the purchase intention for the online-crowd-funding sustainable milk. Customer behaviours, environmental consciousness, and the individual socio-demographic factors were tested as potential explanatory variables. In the survey and depth interview samples, we found interviewees as potential customers showed strong purchase intentions to the crowd funding dairy milk for noticing milk quality and nutritious improvement, emission reduction and environmental benefits by the integrated PVWP system. In our findings of the regression results, the females, customers with young children or planning to have children were found with higher willing to purchase than other customers for crowd funding the sustainable dairy milk. The familiarity and popularity with online shopping and pre-sale purchase in China made customers more open and active towards pre-pay and crowd-funding mechanism.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
Keywords
Binary probit regression, Crowd-funding, Dairy milk in China, Discrete choice model, Photovoltaic water pumping
National Category
Civil Engineering
Identifiers
urn:nbn:se:mdh:diva-43145 (URN)10.1016/j.egypro.2018.12.008 (DOI)000471291100082 ()2-s2.0-85063770378 (Scopus ID)
Conference
Applied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrids, REM 2018, 29–30 September 2018, Rhodes, Greece
Available from: 2019-04-18 Created: 2019-04-18 Last updated: 2019-07-11Bibliographically approved
Yan, J., Kaldellis, P. J. & Campana, P. E. (2019). REM2018: Renewable Energy Integration with Mini/Microgrid. Energy Procedia, 159
Open this publication in new window or tab >>REM2018: Renewable Energy Integration with Mini/Microgrid
2019 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 159Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
Elsevier Ltd, 2019
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-43134 (URN)10.1016/j.egypro.2018.12.020 (DOI)2-s2.0-85063772278 (Scopus ID)
Available from: 2019-04-18 Created: 2019-04-18 Last updated: 2019-06-04Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1351-9245

Search in DiVA

Show all publications