Uuden asuinalueen kaksisuuntaisen kaukolämpöratkaisun asiakastarveselvitys

Rakennusten energiatehokkuustoimet, lähes nollaenergiarakentaminen sekä uusiutuvien lähienergiamuotojen markkinakasvu muuttavat kaukolämpöliiketoimintaa. Kaukolämpöyhtiön on pyrittävä kehittämään liiketoimintaansa energian tuotantorakenteiden muutoksessa ja rakennusten energiankulutuksen pienentyessä. Tätä vastaamaan Turku Energia Oy on kehittänyt ilmastoystävällisen energiapaketin, jonka yhtenä osa-alueena on matalalämpötilainen ja kaksisuuntainen kaukolämpöverkko. Skanssin uudelle asuinalueelle valmistuvassa kaukolämpöverkossa kaukolämmön asiakkailla on mahdollisuus myydä ylijäämälämpöä energiayhtiölle. Yksi Skanssin energiahankkeen tavoitteista on kehittää Turku Energia Oy:lle uudenlainen hankintamenettely, johon sisältyy tässä diplomityössä toteutettu asiakastarveselvitys. Selvityksessä kartoitetaan paikallisten rakennus- ja kiinteistöyhtiöiden toiveita sekä heidän näkemiään haasteita liittyen kaksisuuntaiseen kaukolämpöverkkoratkaisuun, lähienergian tuotantoon ja kaupunkisuunnitteluun. Tavoitteena on löytää uusia teknologioita sekä valita ja kehittää Skanssin asukkaita parhaiten palvelevat energiatehokkuutta lisäävät tuotteet ja palvelut. Asiakastarveselvityksen tuloksena todettiin, että rakennuttajien näkökulmasta rakentamismääräyskokoelmasta poikkeavien uusien energiaratkaisujen sisällyttäminen rakennuksen investointiin on erittäin haastavaa. Asunnon ostajan näkökulmasta määrääviä valintakriteerejä ovat edelleen asunnon hinta ja sijainti. Lisäinvestoinnin tekemiseen eivät riitä perusteluiksi ainoastaan vihreät attribuutit, mutta tulevaisuudessa niiden asema rakentamisessa tulee korostumaan. Rakennus- ja kiinteistöyhtiöt kaipaavat rakentamisen erityishankkeisiin asiantuntevia ja sitoutuneita osapuolia sekä riittävää neuvotteluvaraa kaikille osapuolille.

Kaukolämpöliiketoiminnan kehittäminen Mäntsälän Sähkö osakeyhtiössä

Tämän diplomityön tarkoitus oli selvittää Mäntsälän Sähkö Oy:n kaukolämpöliiketoiminnan nykytila ja kehityskohteet. Tutkimuskysymykset olivat: 1) Millaisilla toimenpiteillä varmistetaan kaukolämpöliiketoiminnan kannattavuus tulevaisuudessa? ja 2) Millaisia mahdollisuuksia älykäs kaukolämpö tuo kaukolämpöliiketoiminnalle? Tutkimus suoritettiin perehtymällä aiheen kirjallisuuteen ja uutisiin. Takaisinmaksuajan menetelmällä arvioitiin maakaasun korvaamisen kannattavuutta. Työn tuloksena voitiin todeta, että kaukolämmön hinnoittelua kannattaa kehittää kustannusvastaavampaan suuntaan. Nykyinen kaukolämmön energiankulutukseen painottuva hinnoittelu ei sovi uusille rakennuksille, jotka kuluttavat vähän energiaa. Yleistyvät hybridilämmitysjärjestelmät on otettava huomioon hinnoittelussa. Kaukolämmön kausihinnoittelu toisi etuja asiakkaalle, kaukolämpöyhtiölle sekä ympäristölle. Kaukolämmön kulutuksen tuntimittaus mahdollistaisi siirtymisen kaukolämpötehoon perustuvaan hinnoitteluun. Kaukolämmön hinta on ollut Mäntsälän Sähkö Oy:llä suhteellisen korkea. Korkea hinta johtuu enimmäkseen maakaasulla tuotetun kaukolämmön korkeista tuotantokustannuksista. Kaukolämmön tuotantoa voidaan kehittää kannattavammaksi, vaikka lämmöntalteenottolaitoksen oletettu lämmöntuotanto kattaa Mäntsälän lämmöntarpeesta noin puolet ja vähentää tuotantokustannuksia. Nykyisten maakaasukattiloiden käyttäminen pelletin pölypolttoon olisi teknisten muutoksien avulla mahdollista. Pölypolton kannattavuus riippuu erityisesti puupelletin ja maakaasun hintaerosta. Älykäs kaukolämpöjärjestelmä voisi automaattisesti tasoittaa kaukolämmön kysyntää yhdessä lämpövaraston kanssa. Tällöin huippulämpölaitosten käyttö vähentyisi ja lämmöntuotannon kustannukset pienentyisivät. Älykäs kaukolämpöjärjestelmä ja kaukolämpötehon tuntimittaus mahdollistaisivat myös kaksisuuntaisen kaukolämpökaupan.

Optimization of a dynamic district heating power plant

The purpose of this Thesis is to find the most optimal heat recovery solution for Wärtsilä’s dynamic district heating power plant considering Germany energy markets as in Germany government pays subsidies for CHP plants in order to increase its share of domestic power production to 25 % by 2020. Different heat recovery connections have been simulated dozens to be able to determine the most efficient heat recovery connections. The purpose is also to study feasibility of different heat recovery connections in the dynamic district heating power plant in the Germany markets thus taking into consideration the day ahead electricity prices, district heating network temperatures and CHP subsidies accordingly. The auxiliary cooling, dynamical operation and cost efficiency of the power plant is also investigated.

Space heating and hot water demand analysis of dwellings connected to district heating scheme in UK

To achieve CO2 emissions reductions the UK Building Regulations require developers of new residential buildings to calculate expected CO2 emissions arising from their energy consumption using a methodology such as Standard Assessment Procedure (SAP 2005) or, more recently SAP 2009. SAP encompasses all domestic heat consumption and a limited proportion of the electricity consumption. However, these calculations are rarely verified with real energy consumption and related CO2 emissions. This paper presents the results of an analysis based on weekly head demand data for more than 200 individual flats. The data is collected from recently built residential development connected to a district heating network. A methodology for separating out the domestic hot water use (DHW) and space heating demand (SH) has been developed and compares measured values to the demand calculated using SAP 2005 and 2009 methodologies. The analysis shows also the variance in DHW and SH consumption between both size of the flats and tenure (privately owned or housing association). Evaluation of the space heating consumption includes also an estimation of the heating degree day (HDD) base temperature for each block of flats and its comparison to the average base temperature calculated using the SAP 2005 methodology.

A Bayesian Approach for Forecasting Heat Load in a District Heating System

The growing population in cities increases the energy demand and affects the environment by increasing carbon emissions. Information and communications technology solutions which enable energy optimization are needed to address this growing energy demand in cities and to reduce carbon emissions. District heating systems optimize the energy production by reusing waste energy with combined heat and power plants. Forecasting the heat load demand in residential buildings assists in optimizing energy production and consumption in a district heating system. However, the presence of a large number of factors such as weather forecast, district heating operational parameters and user behavioural parameters, make heat load forecasting a challenging task. This thesis proposes a probabilistic machine learning model using a Naive Bayes classifier, to forecast the hourly heat load demand for three residential buildings in the city of Skellefteå, Sweden over a period of winter and spring seasons. The district heating data collected from the sensors equipped at the residential buildings in Skellefteå, is utilized to build the Bayesian network to forecast the heat load demand for horizons of 1, 2, 3, 6 and 24 hours. The proposed model is validated by using four cases to study the influence of various parameters on the heat load forecast by carrying out trace driven analysis in Weka and GeNIe. Results show that current heat load consumption and outdoor temperature forecast are the two parameters with most influence on the heat load forecast. The proposed model achieves average accuracies of 81.23 % and 76.74 % for a forecast horizon of 1 hour in the three buildings for winter and spring seasons respectively. The model also achieves an average accuracy of 77.97 % for three buildings across both seasons for the forecast horizon of 1 hour by utilizing only 10 % of the training data. The results indicate that even a simple model like Naive Bayes classifier can forecast the heat load demand by utilizing less training data.

Practical network coding for two way relay channels in LTE networks

In this paper, the implementation aspects and constraints of the simplest network coding (NC) schemes for a two-way relay channel (TWRC) composed of a user equipment (mobile terminal), an LTE relay station (RS) and an LTE base station (eNB) are considered in order to assess the usefulness of the NC in more realistic scenarios. The information exchange rate gain (IERG), the energy reduction gain (ERG) and the resource utilization gain (RUG) of the NC schemes with and without subcarrier division duplexing (SDD) are obtained by computer simulations. The usefulness of the NC schemes are evaluated for varying traffic load levels, the geographical distances between the nodes, the RS transmit powers, and the maximum numbers of retransmissions. Simulation results show that the NC schemes with and without SDD, have the throughput gains 0.5% and 25%, the ERGs 7 - 12% and 16 - 25%, and the RUGs 0.5 - 3.2%, respectively. It is found that the NC can provide performance gains also for the users at the cell edge. Furthermore, the ERGs of the NC increase with the transmit power of the relay while the ERGs of the NC remain the same even when the maximum number of retransmissions is reduced.

Geothermal district heating networks: modelling novel operational strategies incorporating heat storage

The value of integrating a heat storage into a geothermal district heating system has been investigated. The behaviour of the system under a novel operational strategy has been simulated focusing on the energetic, economic and environmental effects of the new strategy of incorporation of the heat storage within the system. A typical geothermal district heating system consists of several production wells, a system of pipelines for the transportation of the hot water to end-users, one or more re-injection wells and peak-up devices (usually fossil-fuel boilers). Traditionally in these systems, the production wells change their production rate throughout the day according to heat demand, and if their maximum capacity is exceeded the peak-up devices are used to meet the balance of the heat demand. In this study, it is proposed to maintain a constant geothermal production and add heat storage into the network. Subsequently, hot water will be stored when heat demand is lower than the production and the stored hot water will be released into the system to cover the peak demands (or part of these). It is not intended to totally phase-out the peak-up devices, but to decrease their use, as these will often be installed anyway for back-up purposes. Both the integration of a heat storage in such a system as well as the novel operational strategy are the main novelties of this thesis. A robust algorithm for the sizing of these systems has been developed. The main inputs are the geothermal production data, the heat demand data throughout one year or more and the topology of the installation. The outputs are the sizing of the whole system, including the necessary number of production wells, the size of the heat storage and the dimensions of the pipelines amongst others. The results provide several useful insights into the initial design considerations for these systems, emphasizing particularly the importance of heat losses. Simulations are carried out for three different cases of sizing of the installation (small, medium and large) to examine the influence of system scale. In the second phase of work, two algorithms are developed which study in detail the operation of the installation throughout a random day and a whole year, respectively. The first algorithm can be a potentially powerful tool for the operators of the installation, who can know a priori how to operate the installation on a random day given the heat demand. The second algorithm is used to obtain the amount of electricity used by the pumps as well as the amount of fuel used by the peak-up boilers over a whole year. These comprise the main operational costs of the installation and are among the main inputs of the third part of the study. In the third part of the study, an integrated energetic, economic and environmental analysis of the studied installation is carried out together with a comparison with the traditional case. The results show that by implementing heat storage under the novel operational strategy, heat is generated more cheaply as all the financial indices improve, more geothermal energy is utilised and less fuel is used in the peak-up boilers, with subsequent environmental benefits, when compared to the traditional case. Furthermore, it is shown that the most attractive case of sizing is the large one, although the addition of the heat storage most greatly impacts the medium case of sizing. In other words, the geothermal component of the installation should be sized as large as possible. This analysis indicates that the proposed solution is beneficial from energetic, economic, and environmental perspectives. Therefore, it can be stated that the aim of this study is achieved in its full potential. Furthermore, the new models for the sizing, operation and economic/energetic/environmental analyses of these kind of systems can be used with few adaptations for real cases, making the practical applicability of this study evident. Having this study as a starting point, further work could include the integration of these systems with end-user demands, further analysis of component parts of the installation (such as the heat exchangers) and the integration of a heat pump to maximise utilisation of geothermal energy.

Opening Pousada da Serra da Estrela in Covilhã: A two-way impact analysis - interacting with private agents

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Opening Pousada da Serra da Estrela in Covilhã: A two-way impact analysis - Interacting with public agents

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

A Retail benchmarking approach to eficient two-way access pricing

We study a retail benchmarking approach to determine access prices for interconnected networks. Instead of considering fixed access charges as in the existing literature, we study access pricing rules that determine the access price that network i pays to network j as a linear function of the marginal costs and the retail prices set by both networks. In the case of competition in linear prices, we show that there is a unique linear rule that implements the Ramsey outcome as the unique equilibrium, independently of the underlying demand conditions. In the case of competition in two-part tariffs, we consider a class of access pricing rules, similar to the optimal one under linear prices but based on average retail prices. We show that firms choose the variable price equal to the marginal cost under this class of rules. Therefore, the regulator (or the competition authority) can choose one among the rules to pursue additional objectives such as consumer surplus, network covera.

A Simple Access Pricing Rule to Achieve the Ramsey Outcome in Two-Way Access

In this paper, I consider a general and informationally effcient approach to determine the optimal access rule and show that there exists a simple rule that achieves the Ramsey outcome as the unique equilibrium when networks compete in linear prices without network-based price discrimination. My approach is informationally effcient in the sense that the regulator is required to know only the marginal cost structure, i.e. the marginal cost of making and terminating a call. The approach is general in that access prices can depend not only on the marginal costs but also on the retail prices, which can be observed by consumers and therefore by the regulator as well. In particular, I consider the set of linear access pricing rules which includes any fixed access price, the Efficient Component Pricing Rule (ECPR) and the Modified ECPR as special cases. I show that in this set, there is a unique access rule that achieves the Ramsey outcome as the unique equilibrium as long as there exists at least a mild degree of substitutability among networks' services.

A retail benchmarking approach to efficient two-way access pricing

We study a retail benchmarking approach to determine access prices for interconnected networks. Instead of considering fixed access charges as in the existing literature, we study access pricing rules that determine the access price that network i pays to network j as a linear function of the marginal costs and the retail prices set by both networks. In the case of competition in linear prices, we show that there is a unique linear rule that implements the Ramsey outcome as the unique equilibrium, independently of the underlying demand conditions. In the case of competition in two-part tariffs, we consider a class of access pricing rules, similar to the optimal one under linear prices but based on average retail prices. We show that firms choose the variable price equal to the marginal cost under this class of rules. Therefore, the regulator (or the competition authority) can choose one among the rules to pursue additional objectives such as consumer surplus, network coverage or investment: for instance, we show that both static and dynamic e±ciency can be achieved at the same time.

Utilization of Automatic Meter Reading in the Improvement of a District Heating System

A district heating system comprises production facilities, a distribution network, and heat consumers. The utilization of new energy metering and reading system (AMR) is increasing constantly in district heating systems. This heuristic study shows how the AMR system can be exploited in finding optimization opportunities in district heating system. In this study, the district heating system is mainly considered from the viewpoint of operational optimization. The focus is on the core processes, heat production and distribution. Three objectives were set to this study. The first one was to examine general optimization opportunities in district heating systems. Second, to figure out the benefits of AMR for general optimization opportunities. Finally, to define a methodology for process improvement endeavors. This study shows, through a case study, the usefulness of AMR in specifying current deficiencies in a district heating system. Based on a literature review, the methodology for the improvement of business processes is presented. Additionally, some issues related to future competitiveness of district heating are concerned. As a conclusion, some optimization objectives are considered more desirable than others. Study shows that AMR is useful in the specification of optimization targets in the district heating system. Further steps in optimization process were not examined in detail. That would seem to be interesting topic for further studies.

Power allocation strategies for distributed space-time codes in two-way relay networks

We study a two-way relay network (TWRN), where distributed space-time codes are constructed across multiple relay terminals in an amplify-and-forward mode. Each relay transmits a scaled linear combination of its received symbols and their conjugates,with the scaling factor chosen based on automatic gain control. We consider equal power allocation (EPA) across the relays, as well as the optimal power allocation (OPA) strategy given access to instantaneous channel state information (CSI). For EPA, we derive an upper bound on the pairwise-error-probability (PEP), from which we prove that full diversity is achieved in TWRNs. This result is in contrast to one-way relay networks, in which case a maximum diversity order of only unity can be obtained. When instantaneous CSI is available at the relays, we show that the OPA which minimizes the conditional PEP of the worse link can be cast as a generalized linear fractional program, which can be solved efficiently using the Dinkelback-type procedure.We also prove that, if the sum-power of the relay terminals is constrained, then the OPA will activate at most two relays.

Two-way CSI-assisted AF relaying with HPA nonlinearity

In this paper, we investigate half-duplex two-way dual-hop channel state information (CSI)-assisted amplify-and-forward (AF) relaying in the presence of high-power amplifier (HPA) nonlinearity at relays. The expression for the end-to-end signal-to-noise ratio (SNR) is derived as per the modified system model by taking into account the interference caused by relaying scheme and HPA nonlinearity. The system performance of the considered relaying network is evaluated in terms of average symbol error probability (SEP) in Nakagami-$m$ fading channels, by making use of the moment-generating function (MGF) approach. Numerical results are provided and show the effects of several parameters, such as quadrature amplitude modulation (QAM) order, number of relays, HPA parameters, and Nakagami parameter, on performance.