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Cogeneration of heat and electricity is an important pillar of energy and climate policy. To plan the production and distribution system of combined heat and power (CHP) systems for residential heating, suitable methods for decision support are needed. For a comprehensive feasibility analysis, the integration of the location and capacity planning of the power plants, the choice of customers, and the network planning of the heating network into one optimization model are necessary. Thus, we develop an optimization model for electricity generation and heat supply. This mixed integer linear program (MILP) is based on graph theory for network flow problems. We apply the network location model for the optimization of district heating systems in the City of Osorno in Chile, which exhibits the “checkerboard layout” typically found in many South American cities. The network location model can support the strategic planning of investments in renewable energy projects because it permits the analysis of changing energy prices, calculation of break-even prices for heat and electricity, and estimation of greenhouse gas emission savings.

It's not only the carbon in the trees Forest loss affects climate not just because of the impacts it has on the carbon cycle, but also because of how it affects the fluxes of energy and water between the land and the atmosphere. Evaluating global impact is complicated because deforestation can produce different results in different climate zones, making it hard to determine large-scale trends rather than more local ones. Alkama and Cescatti conducted a global assessment of the biophysical effects of forest cover change. Forest loss amplifies diurnal temperature variations, increases mean and maximum air temperatures, and causes a significant amount of warming when compared to CO 2 emission from land-use change. Science , this issue p. 600

Sustainable development goals (SDGs) adopted in 2015 are geared toward sustainable development through various pathways, one being reducing inequality as covered in SDG 10. Inequalities are a threat to health and wellbeing of populations and a planet Earth in which we live. This rapid review aims to identify key issues that are likely to exacerbate inequalities around the six SDGs directly related to One Health, which are SDG 3, 6, 11, 13, 14 and 15, and suggest some actions that may help to address them using inclusive governance taking into account the coronavirus disease of 2019 (COVID-19) pandemic. Informed by the literature on SDGs and using the “inclusive development concept” by Gupta and Vegelin, literature search was done in Google Scholar, PubMed Central, as well as, searching of references in the relevant articles identified using search terms from the six SDGs that are directly related to One Health. In the context of the SDGs, in order to achieve One Health through inclusive governance, and tackle inequalities, the following needs to be considered and addressed: increasing number of armed conflicts; ongoing COVID-19 pandemic; ensuring availability of water and sanitation facilities; improving city and urban areas planning to cope with climate change; improving governance arrangements for addressing climate change factoring gender and human rights; multisectoral planning for conservation of oceans, seas, and marine resources; balancing trade regulation of wildlife trade with conservation efforts; need for a research collaborative involving experts from environmental sciences, wildlife, agriculture and human health to study and develop scientific evidence on contribution of changes in land use practices to occurrence of zoonotic diseases; and need of a legislation for promoting animal welfare to protect public health. Also, inclusion of people with disabilities in the use of digital technologies is critical.

The majority of local respondents in a large-scale survey were in favour of planned local wind farms on the Danish coast, despite these wind farm plans being the source of wider public and political contestation and opposition. Here we discuss results from the open-ended questions in the survey, specifically focusing on comments expressing how some respondents felt split in their views of these wind farms, accepting the need for renewable energy while at the same time being concerned about the potential local impact of the wind farms. Building on previous theoretical propositions relating to energy infrastructure opposition, here we apply the concept of cognitive polyphasia in some depth, providing a socio-cognitive account of the internal contradiction of being positively disposed to renewable energy in principle, but concerned about or opposed to specific de­velopments in localities. We distinguish a cognitive polyphasic account of such mixed feelings from cognitive dissonance accounts, and we identify several types of polyphasic representations, providing a basis for further work in other cases. The majority of local respondents in a large-scale survey were in favour of planned local wind farms on theDanish coast, despite these wind farm plans being the source of wider public and political contestation andopposition. Here we discuss results from the open-ended questions in the survey, specifically focusing oncommentsexpressinghowsomerespondentsfeltsplitintheirviewsofthesewindfarms,acceptingtheneedforrenewableenergywhileatthesametimebeingconcernedaboutthepotentiallocalimpactofthewindfarms.Building on previous theoretical propositions relating to energy infrastructure opposition, here we apply theconceptofcognitivepolyphasiainsomedepth,providingasocio-cognitiveaccountoftheinternalcontradictionof being positively disposed to renewable energy in principle, but concerned about or opposed to specific de-velopments in localities. We distinguish a cognitive polyphasic account of such mixed feelings from cognitivedissonanceaccounts,andweidentify severaltypesofpolyphasicrepresentations,providingabasisforfurtherworkinothercases

Vor dem Hintergrund eines zunehmenden globalen Energiebedarfs und der Gefahr einer anthropogenen Störung des Klimasystems durch die Emission von Treibhausgasen gilt es, tragfähige Strategien und Perspektiven für eine nachhaltige Energieversorgung zu entwickeln. Der verstärkten Nutzung erneuerbarer Energien wird dabei vielfach eine Schlüsselrolle zur Bewältigung dieser Herausforderungen zugesprochen. Einer weit verbreiteten Ausschöpfung der auch in Deutschland in großem Maße verfügbaren Potenzialen an regenerativen Energieträgern stehen jedoch häufig noch die damit verbundenen hohen Kosten im Vergleich zu fossilen Energieträgern entgegen. Ziel der vorliegenden Arbeit ist es daher zu untersuchen, welchen Beitrag erneuerbare Energieträger in einem wettbewerblichen Marktumfeld langfristig zur Energieversorgung leisten können und in welchem Umfang erneuerbare Energieträger durch die Internalisierung der Treibhausgasvermeidungskosten in den Energiepreisen profitieren können. Zur Bewertung der Rolle erneuerbarer Energieträger sind mit Blick auf das Gesamtenergiesystem Interdependenzen zwischen der Nutzung erneuerbarer Energieträger und den übrigen Sektoren des Energiesystems zu berücksichtigen. Neben der Vernetzung des Energiesystems in horizontaler Richtung durch Prozessketten über Sektoren hinweg und in vertikaler Richtung durch die Konkurrenz regenerativer mit fossilen Energietechnologien sind dabei auch Kopplungen über Energiepreise, deren Höhe über die Wettbewerbsfähigkeit einer regenerativen Energietechnologie entscheidet, sowie die energie- und preisseitigen Effekte durch Einführung energiepolitischer Instrumente zu beachten. Aufgrund dieser Systemzusammenhänge wird daher ein auf dem Ansatz der linearen Programmierung basierendes intertemporales Energiesystemmodell verwendet, in dem die Energiewirtschaft Deutschlands von der Primär- bis zur Nutzenergie technologisch detailliert abgebildet und hinsichtlich der Systemkosten optimiert wird. Um die Wechselwirkungen innerhalb des Energiesystems aufzuzeigen, werden sich z. T. ergänzende methodische Verfahren entwickelt und eingesetzt. Neben einem Bilanzierungsmodell zur Ermittlung von die Prozessvorketten berücksichtigender Indikatoren zählen hierzu ein auf der Dualitätstheorie beruhendes Verfahren zur Dekomposition der Energie- und Zertifikatspreise, Methoden der Sensitivitätsanalyse zur Ermittlung der fundamentalen preisbestimmenden Faktoren und Techniken der parametrischen Programmierung, um neben Variationen der Modelleingangsdaten Treibhausgasvermeidungskostenkurven und Angebotskurven regenerativ erzeugten Stroms unter Berücksichtigung der systemaren Zusammenhänge im Energiesektor abzuleiten. Mit Hilfe des entwickelten Energiesystemmodells und der Analysemethoden werden die zukünftigen Entwicklungsperspektiven erneuerbarer Energien im deutschen Energiesystem bis zum Jahr 2050 szenariogestützt untersucht. In den Szenarien werden einerseits die mit einer Quote erneuerbarer Energien in der Stromerzeugung verbundenen energie-, kosten- und emissionsseitigen Auswirkungen betrachtet und andererseits der Beitrag erneuerbarer Energien in Konkurrenz mit alternativen Minderungsoptionen zur Erreichung von Treibhausgasminderungszielen dargestellt. Weiterhin werden in simultanen Variationen die Wechselwirkungen zwischen beiden Instrumenten und ihre Auswirkungen speziell auf die Stromerzeugungsstruktur und die Strompreise beleuchtet. Against the background of an increasing global energy demand and the danger of an anthropogenic disturbance of the climate system by the emission of greenhouse gases, it is necessary to develop sustainable strategies and perspectives for the future energy system. The increased usage of renewable sources is identified from many sides as a key element in strategies to overcome these challenges. However, a widely utilisation of the also in Germany large existing potentials of renewable energy carriers is currently still opposed by the associated high costs relative to fossil energy sources. The intention of the submitted thesis is to analyse the contribution of renewable energy sources in the long-run under competitive market conditions to the energy supply and to study the extent to which renewable energy sources can benefit from the internalisation of greenhouse gas abatement costs in the energy prices. To assess the role of renewable energy sources in the context of the entire energy system, interdependencies between the utilisation of renewable energy sources with other aspects and sectors of the energy system have to be taken into account. In addition to the interconnectedness of the energy system in the horizontal direction by process chains across sectors and in the vertical direction by the competition of renewable with conventional fossil technologies also the linkage by energy prices, which serve as benchmark for the competitiveness of a renewable energy technology, and the energy and price related effects caused by the introduction of policy instruments have to be considered. Due to these interactions within the system, a linear programming based dynamic energy system model is used, which depicts technologically detailed the German energy sector from the primary energy supply to the end-use energy demand side and optimises the energy system with respect to its total costs. In order to reveal the interactions and dependencies within the energy system, several partially complementary methodologies have been developed and applied to the model. Apart from a balance model that allows the calculation of specific indicators under consideration of previous process chains, the methodology comprises a method for decomposing energy and certificate prices based on the duality theory, the method of sensitivity analysis to identify the fundamental price-determining activities and parametric programming techniques to derive greenhouse gas abatement cost curves and renewable electricity supply cost curves. With the help of the developed energy system model and analysis tools, the future development perspectives of renewable energy in the German energy system until the year 2050 are studied in various scenarios. In these scenarios, on the one side the energy-, cost- and emission related effects associated with a quota for the electricity production from renewable sources are studied, on the other side the contribution of renewable energy sources to given greenhouse gas abatement targets in competition with alternative abatement measures is examined. Furthermore the interdependencies between these two policy instruments on each other and their effects on the structure of the electricity sector and on the electricity prices are highlighted.

The assessment of the ‘quality’ of built heritage is a complex transdisciplinary issue, which both public administrations and real estate developers need to carefully consider when making any interventions. Recent international climate regulations underline that currently around 75% of buildings in the EU are not energy efficient. In Italy, those inefficient buildings are more than 50 years old and, if subjected to retrofit interventions, risk being totally transformed and losing their historical value in favor of a more contemporary use. This work aimed to study the residential heritage of the second half of the 20th century in the real estate market and to understand if, how, and in what measure the building and architectonical qualities are recognized and monetized by buyers. The city of Turin was chosen as a study area, and residential building qualities were analyzed using two quality indicators to perform a GWR on market POIs. The results highlighted that housing historical qualities are not homogeneously recognized by the real estate market, in favor of green ones. This work can help both public and private bodies to identify which ‘invisible’ quality residential buildings are immediately exploitable for enhancement strategies, with more respectful retrofitting interventions and a modern protection policy.

Sugar beet (Beta vulgaris ssp. vulgaris) is an important crop of temperate climates which provides nearly 30% of the world's annual sugar production and is a source for bioethanol and animal feed. The species belongs to the order of Caryophylalles, is diploid with 2n = 18 chromosomes, has an estimated genome size of 714-758 megabases and shares an ancient genome triplication with other eudicot plants. Leafy beets have been cultivated since Roman times, but sugar beet is one of the most recently domesticated crops. It arose in the late eighteenth century when lines accumulating sugar in the storage root were selected from crosses made with chard and fodder beet. Here we present a reference genome sequence for sugar beet as the first non-rosid, non-asterid eudicot genome, advancing comparative genomics and phylogenetic reconstructions. The genome sequence comprises 567 megabases, of which 85% could be assigned to chromosomes. The assembly covers a large proportion of the repetitive sequence content that was estimated to be 63%. We predicted 27,421 protein-coding genes supported by transcript data and annotated them on the basis of sequence homology. Phylogenetic analyses provided evidence for the separation of Caryophyllales before the split of asterids and rosids, and revealed lineage-specific gene family expansions and losses. We sequenced spinach (Spinacia oleracea), another Caryophyllales species, and validated features that separate this clade from rosids and asterids. Intraspecific genomic variation was analysed based on the genome sequences of sea beet (Beta vulgaris ssp. maritima; progenitor of all beet crops) and four additional sugar beet accessions. We identified seven million variant positions in the reference genome, and also large regions of low variability, indicating artificial selection. The sugar beet genome sequence enables the identification of genes affecting agronomically relevant traits, supports molecular breeding and maximizes the plant's potential in energy biotechnology.