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Osuva on Vaasan yliopiston avoin julkaisuarkisto. Osuva sisältää Vaasan yliopiston omat julkaisut, opinnäytteet ja tieteellisten artikkeleiden rinnakkaistallenteet. Osuvaan sisältyy julkaisujen viitetietoja, tiivistelmiä ja kokotekstejä. Sähköisten arkistokokoelmien sisältö ei ole luettavissa verkossa.

Kokoelmat Osuvassa

Viimeksi tallennetut

  • Hybrid ventilation feasibility in Finnish schools - Case studies and outlook
    Otoo, Christopher; Lu, Tao; Lü, Xiaoshu; Alapieti, Tuomas (Institute of physics publishing, 2026)
    Artikkeli
    Hybrid ventilation is uncommon in Finnish buildings, particularly in schools, owing to the cold climate and the predominance of mechanical ventilation systems. This study evaluates the indoor air quality (IAQ) and ventilation performance, as well as the feasibility of hybrid ventilation, in a selected classroom of four mechanically ventilated Finnish schools in Espoo, using a measurement-driven analytical framework. A year-long dataset of IAQ sensor data from the case schools and outdoor climate data were analysed, together with classroom and ventilation schedules, to estimate the Natural Ventilation Opportunity Index (NVOI) for each school. The findings indicate that hybrid ventilation was not necessarily needed to improve IAQ, as all classrooms recorded only a negligible period during which CO2 levels exceeded 1000 ppm. However, Natural Ventilation Opportunity (NVO) based on outdoor climate triggers yielded 16.6%-18.7% potential air handling unit (AHU) fan-energy savings for the year across all four classrooms. The study concludes that integrating smart hybrid ventilation could reduce energy consumption in Finnish educational buildings. The study concludes with an outlook on the practical implications of adopting artificial intelligence (AI) hybrid ventilation control strategies in cold-climate educational buildings.
  • How non-market collaboration shapes stakeholders' wellbeing through climate-risk management strategies in emerging market B2B firms?
    Khan, Huda; Mouzas, Stefanos; Khan, Zaheer; Lee, Richard (Elsevier, 2026)
    Artikkeli
    Climate change poses threats to stakeholders' wellbeing, defined as their satisfaction, value realisation, expectations, and retention with the firm. While research has established that enhancing stakeholders' wellbeing requires cross-sector collaboration, industrial marketing scholarship has paid less attention to the challenges faced by resource-constrained firms in emerging markets that often rely on non-market collaborations with government and regulatory bodies to access critical resources and knowledge. Using a survey of firms (n = 142) in Pakistan, which is among the most vulnerable country to climate-change risks, this study shows that non-market collaboration with government agencies promotes stakeholders' wellbeing through a serial mediation of climate-risk management strategies and value co-creation with value-chain (upstream and downstream) partners. Furthermore, the influence of non-market collaboration with climate-risk management strategies is more pronounced under high shareholder pressure. Also, the effects of climate-risk management strategies on value co-creation are strengthened by collaborative communication with value-chain partners. Extending industrial marketing literature that cross-sector partnerships are critical for value co-creation, these findings specifically underscore the importance of non-market collaboration in emerging markets, and demonstrate that multi-stakeholder collaborations facilitate sustainable value-chains, thereby generating positive stakeholders' wellbeing.
  • Repeat SPAC Sponsors
    Finne, Gustav; Haga, Jesper (Wiley-Blackwell, 2026)
    Artikkeli
    Sponsors are the key value-generating resource for special purpose acquisition companies (SPACs). We identify a subgroup of sponsors—repeat sponsors—who have formed and managed multiple SPACs. Repeat sponsors identify target companies faster, and their SPACs merge with private companies of higher quality. However, these benefits are attenuated when sponsors manage multiple SPACs simultaneously, suggesting that overlapping commitments create conflicts of interest and dilute sponsor attention. Overall, our findings highlight a tradeoff between the benefits of sponsor expertise and experience, and the costs associated with concurrent sponsorship.
  • Sensitivity-guided modeling of exhaust noise in large-bore marine engines using 1D acoustic simulation
    Hashempour, Touraj; Kim, Jeyoung; Idrees, Muhammad Danish; Pestelli, Carlo; Gao, Zengxin; Mikulski, Maciej (Elsevier, 2026)
    Artikkeli
    Accurate prediction of exhaust noise is increasingly important for integrating acoustic constraints into model-based development of large-bore marine engines. However, one-dimensional acoustic modeling practices established primarily for automotive engines may not transfer directly to large-bore systems. This study investigates the sensitivity of predicted exhaust-pressure spectra to numerical resolution, downstream exhaust-stack representation, turbocharger acoustic modeling, and local duct geometry using a one-dimensional model of a Wärtsilä 4L20 medium-speed engine. A configuration combining the selected refinements is then evaluated against measured in-duct pressure spectra. Numerical resolution produced the strongest sensitivity, with coupled spatial–temporal refinement reducing the spectral RMSE relative to the finest-mesh reference from 10.7 to 2.3 dB below 600 Hz. Explicit exhaust-stack representation substantially redistributed spectral energy, while an acoustic turbine representation introduced frequency-dependent transmission loss rising to 15–17 dB near 1 kHz. The combined refined configuration produced closer frequency-resolved agreement immediately downstream of the turbine, where the narrowband RMSE decreased from 11.42 to 9.88 dB and the mean absolute error from 9.66 to 7.57 dB, although the mean-level deviation increased from 2.42 to 3.05 dB. Within the plane-wave-valid range, one-third-octave errors also decreased, and a separate comparison at a farther-downstream station gave a mean absolute error of 7.30 dB, although residual narrowband discrepancies of 9–10 dB remained. The results demonstrate that reliable one-dimensional exhaust-acoustic prediction for the investigated large-bore engine requires adequate numerical wave resolution together with representation of the dominant propagation paths and passive turbine acoustics. However, the remaining spectral errors indicate that further model development and validation are required. The quantitative resolution thresholds and relative importance of individual model components remain platform-specific and require validation across additional engines and operating conditions.
  • Digitalisation and the Renewable‐Energy Share: Evidence From 156 Countries, 2010–2022
    Cong, Lianghan; Lu, Shuaiyi; Jiang, Pan; Lü, Xiaoshu (John Wiley & Sons, 2026)
    Artikkeli
    Digitalisation has become an important component of the energy transition by improving information exchange, system coordination, and technological innovation. However, its relationship with renewable-energy deployment remains complex because digital technologies can generate both enabling effects and additional energy demand. This study investigates the association between national digital-system capacity and renewable-energy transition using an unbalanced panel of 156 countries from 2010 to 2022. A multidimensional digitalisation index is constructed using entropy-weighted TOPSIS based on six indicators covering digital connectivity, infrastructure, and technology-related productive capacity. Renewable-energy transition is measured by the renewable-energy share in total final energy consumption, corresponding to Sustainable Development Goal (SDG). The empirical analysis combines fixed-effects models, common-correlated-effects estimation, dynamic-panel specifications, alternative index constructions, and spatial models to examine the robustness and contextual dependence of the relationship. The results show that higher digital-system capacity is positively associated with renewable-energy share in country fixed-effects models. A 0.1-point increase in the digitalisation index corresponds to approximately 3.9% higher renewable-energy share. The estimated association becomes smaller after accounting for common time variation and unobserved common factors, highlighting the importance of distinguishing national digital development from broader international trends. Formal interaction tests further reveal stronger associations in high-emissions contexts and significant differences across income groups. A CO2-related pathway decomposition identifies a significant emissions-related component, while the result is interpreted as a contemporaneous relationship rather than causal mediation. Overall, the findings indicate that digitalisation can contribute to renewable-energy transition, but its effectiveness depends on technological diffusion, structural conditions, and the characteristics of national energy systems.