Pk-yrityksen aurinkovoimalainvestointiin vaikuttavat tekijät

Tutkielman tavoitteena on selvittää pienten ja keskisuurten yritysten aurinkovoimalainvestointiin liittyviä tekijöitä sekä erityispiirteitä. Tutkielmassa pk-yritykset on rajattu alueellisesti Etelä-Suomeen ja tekijöitä tarkastellaan investoinnin sekä päätöksenteon näkökulmasta. Keskeisenä asiana tutkielmassa on aurinkosähkömarkkinoiden nykytila sekä mahdollisuudet. Osatavoitteena on tutkia aurinkosähkön hyödyntämistä ja käyttöönottoa Suomessa sekä luoda aurinkosähkön mahdollisuuksista selkeämpi kokonaiskuva. Tutkielman tutkimusmenetelmänä käytetään laadullista tutkimusta. Tutkielma koostuu teoreettisesta katsauksesta sekä empiirisestä osuudesta. Teoreettinen osuus tarkastelee investointeja ja rahoitusvaihtoehtoja. Empiirinen osuus pitää sisällään kolmen kohdeyrityksen haastattelut. Haastattelut toteutettiin marraskuussa 2015 aurinkosähkömarkkinoilla toimiville ratkaisuntarjoajille. Haastatteluiden avulla kartoitettiin alalla toteutettujen aurinkovoimalainvestointien taustatekijöitä ja erityispiirteitä. Tutkimustuloksina havaittiin selkeitä aurinkovoimalainvestointiin vaikuttavia tekijöitä sekä muutamia erityispiirteitä. Taloudellista kannattavuutta voidaan pitää investointien lähtökohtana. Tähän vaikuttaa uusiutuvan energian investointeihin saatavilla oleva energiatuki, jolla on merkittävä vaikutus pk-yrityksen päätöksentekoon. Lisäksi ekologinen sähkön tuotanto sekä omavaraisuus nousivat haastatteluissa esiin. Johtopäätöksinä voidaan todeta aurinkosähkön sisältävän useita tekijöitä ja erityispiirteitä, joita investoijien sekä ratkaisuntarjoajien tulee ottaa huomioon. Aurinkosähkömarkkinoiden suurta potentiaalia voidaan hyödyntää tehokkaammin kehittämällä alan tiedonjakoa esille nousseiden tekijöiden ja erityispiirteiden osalta.

Analyzing the Effects of the New Renewable Energy Policy in Russia on Investments into Wind, Solar and Small Hydro Power

This thesis presents an analysis of recently enacted Russian renewable energy policy based on capacity mechanism. Considering its novelty and poor coverage by academic literature, the aim of the thesis is to analyze capacity mechanism influence on investors’ decision-making process. The current research introduces a number of approaches to investment analysis. Firstly, classical financial model was built with Microsoft Excel® and crisp efficiency indicators such as net present value were determined. Secondly, sensitivity analysis was performed to understand different factors influence on project profitability. Thirdly, Datar-Mathews method was applied that by means of Monte Carlo simulation realized with Matlab Simulink®, disclosed all possible outcomes of investment project and enabled real option thinking. Fourthly, previous analysis was duplicated by fuzzy pay-off method with Microsoft Excel®. Finally, decision-making process under capacity mechanism was illustrated with decision tree. Capacity remuneration paid within 15 years is calculated individually for each RE project as variable annuity that guarantees a particular return on investment adjusted on changes in national interest rates. Analysis results indicate that capacity mechanism creates a real option to invest in renewable energy project by ensuring project profitability regardless of market conditions if project-internal factors are managed properly. The latter includes keeping capital expenditures within set limits, production performance higher than 75% of target indicators, and fulfilling localization requirement, implying producing equipment and services within the country. Occurrence of real option shapes decision-making process in the following way. Initially, investor should define appropriate location for a planned power plant where high production performance can be achieved, and lock in this location in case of competition. After, investor should wait until capital cost limit and localization requirement can be met, after that decision to invest can be made without any risk to project profitability. With respect to technology kind, investment into solar PV power plant is more attractive than into wind or small hydro power, since it has higher weighted net present value and lower standard deviation. However, it does not change decision-making strategy that remains the same for each technology type. Fuzzy pay-method proved its ability to disclose the same patterns of information as Monte Carlo simulation. Being effective in investment analysis under uncertainty and easy in use, it can be recommended as sufficient analytical tool to investors and researchers. Apart from described results, this thesis contributes to the academic literature by detailed description of capacity price calculation for renewable energy that was not available in English before. With respect to methodology novelty, such advanced approaches as Datar-Mathews method and fuzzy pay-off method are applied on the top of investment profitability model that incorporates capacity remuneration calculation as well. Comparison of effects of two different RE supporting schemes, namely Russian capacity mechanism and feed-in premium, contributes to policy comparative studies and exhibits useful inferences for researchers and policymakers. Limitations of this research are simplification of assumptions to country-average level that restricts our ability to analyze renewable energy investment region wise and existing limitation of the studying policy to the wholesale power market that leaves retail markets and remote areas without our attention, taking away medium and small investment into renewable energy from the research focus. Elimination of these limitations would allow creating the full picture of Russian renewable energy investment profile.

Sustainability of protein production by bioreactor processes using wind and solar power as energy sources

Food production account for significant share of global environmental impacts. Impacts are global warming, fresh water use, land use and some non-renewable substance consumption like phosphorous fertilizers. Because of non-sustainable food production, the world is heading to different crises. Both food- and freshwater crises and also land area and phosphorous fertilizer shortages are one of many challenges to overcome in near future. The major protein sources production amounts, their impacts on environment and uses are show in this thesis. In this thesis, a more sustainable than conventional way of biomass production for food use is introduced. These alternative production methods are photobioreactor process and syngas-based bioreactor process. The processes’ energy consumption and major inputs are viewed. Their environmental impacts are estimated. These estimations are the compared to conventional protein production’s impacts. The outcome of the research is that, the alternative methods can be more sustainable solutions for food production than conventional production. However, more research is needed to verify the exact impacts. Photobioreactor is more sustainable process than syngas-based bioreactor process, but it is more location depended and uses more land area than syngas-based process. In addition, the technology behind syngas-based application is still developing and it can be more efficient in the future.