Analisi della stabilità dei risultati dei test di risposta termica: prove in campo, confronto e analisi critica per diversi metodi di esecuzione e modellizzazione

Il Test di Risposta Termica (Thermal Response Test-TRT) (Mogenson,1983) è il test esistente con il più alto grado di accuratezza per la caratterizzazione del reservoir geotermico superficiale. Il test consiste in una simulazione in situ del funzionamento di un sistema a circuito chiuso di sfruttamento dell’energia geotermica, per un periodo limitato di tempo, attraverso l’iniezione o estrazione di calore a potenza costante all’interno del geo-scambiatore (Borehole Heat Exchanger-BHE). Dall’analisi della variazione delle temperature del fluido circolante, è possibile avere una stima delle proprietà termiche medie del volume del reservoir geotermico interessato dal test. Le grandezze principali per la caratterizzazione di un serbatoio geotermico sono la conduttività termica (λ), la capacità termica volumetrica (c), la temperatura indisturbata del suolo (Tg) e la resistenza termica del pozzo (Rb); la loro determinazione è necessaria per il corretto progettazione degli geo-scambiatori. I risultati del TRT sono tuttavia sensibili alle condizioni al contorno spazio-temporali quali ad es.: variazione della temperatura del terreno, movimento d’acqua di falda, condizioni metereologiche, eventi stagionali, ecc. Questo lavoro vuole: i) introdurre uno studio sui problemi di caratterizzazione del reservoir geotermico superficiale, in particolare analizzando l’effetto che il movimento d’acqua di falda ha sui parametri termici; ii) analizzare la sensitività dei risultati del test alle variabilità dei parametri caratteristici del funzionamento delle attrezzature. Parte del lavoro della mia tesi è stata svolta in azienda per un periodo di 4 mesi presso la “Groenholland Geo Energy systems” che ha sede ad Amsterdam in Olanda. Tre diversi esperimenti sono stati realizzati sullo stesso sito (stratigrafia nota del terreno: argilla, sabbia fine e sabbia grossa) usando una sonda profonda 30 metri e diversi pozzi per l’estrazione d’acqua e per monitorare gli effetti in prossimità del geo scambiatore. I risultati degli esperimenti sono stati molto diversi tra di loro, non solo in termini di dati registrati (temperature del fluido termovettore), ma in termini dei valori dei parametri ottenuti elaborando i dati. In particolare non è sufficiente adottare il modello classico della sorgente lineare infinita (Infinite Line Source Solution- ILS) (Ingersoll and Plass, 1948), il quale descrive il trasferimento di calore per conduzione in un mezzo omogeneo indefinito a temperatura costante. Infatti, lo scambio di calore avviene anche tramite convezione causata dal movimento d’acqua di falda, non identificabile mediante gli approcci classici tipo CUSUM test (Cumulative Sum test) (Brown e altri,1975) Lo studio della tesi vuole dare un quadro di riferimento per correlare la variabilità dei risultati con la variabilità delle condizioni al contorno. L’analisi integra le metodologie classiche (ILS) con un approccio geostatistico utile a comprendere i fenomeni e fluttuazioni che caratterizzano il test. Lo studio delle principali variabili e parametri del test, quali temperatura in ingresso e uscita del fluido termovettore, portata del fluido e potenza iniettata o estratta, è stato sviluppato mediante: il variogramma temporale, ovvero la semivarianza dell’accrescimento, che esprime il tipo di autocorrelazione temporale della variabile in esame; la covarianza incrociata temporale, ovvero la covarianza fra due variabili del sistema, che ne definisce quantitativamente il grado di correlazione in funzionamento del loro sfasamento temporale. L’approccio geostatistico proposto considera la temperatura del fluido Tf come una funzione aleatoria (FA) non stazionaria nel tempo (Chiles, 1999), il cui trend è formalmente definito, ma deve essere identificato numericamente. Si considera quindi un classico modello a residuo; in cui la FA è modellizzata come la somma di un termine deterministico, la media (il valore atteso) m(t),coincidente col modello descritto dalla teoria della sorgente lineare infinità, e di un termine aleatorio, la fluttuazione, Y(t). Le variabili portata e potenza sono invece considerate delle funzioni aleatorie stazionarie nel tempo, ovvero a media costante. Da questo studio di Tesi si sono raggiunte delle conclusioni molto importanti per lo studio del TRT: Confronto tra gli esperimenti in estrazione di calore, con e senza movimento d’acqua di falda: si studia l’effetto indotto dalla falda sul TRT. E’ possibile caratterizzare quantitativamente l’incremento della conducibilità termica equivalente legata a fenomeni convettivi dovuti al movimento d’acqua di falda. Inoltre, i variogrammi sperimentali evidenziano periodicità simili nei due casi e legate al funzionamento della pompa di calore e della componentistica associata ed alla circolazione del fluido termovettore all’interno della sonda. Tuttavia, la componente advettiva ha un effetto di smorzamento sulle piccole periodicità dei variogrammi, ma di aumento dell’ampiezza delle periodicità maggiori a causa del funzionamento della pompa di calore che deve fornire maggiore energia al sistema per bilanciare le dispersioni dovute al movimento d’acqua di falda. Confronto fra estrazione ed iniezione di calore, con movimento d’acqua di falda: si studia la significatività dei risultati nei due casi. L’analisi delle variografie evidenzia significative differenze nella struttura dei variogrammi sperimentali. In particolare, nel test con iniezione di calore i variogrammi sperimentali delle temperature hanno valori sistematicamente inferiori, circostanza che assicura una migliore precisione nella stima dei parametri termici. Quindi eseguire il TRT in iniezione di calore risulta più preciso. Dall’analisi dei variogrammi sperimentali delle singole variabili quali temperatura del fluido in ingresso e uscita all’interno del geoscambiatore è stato confermato il fenomeno di smorzamento delle oscillazioni da parte del terreno. Dall’analisi delle singole variabili del test (temperature, potenza, portata) è stata confermata l’indipendenza temporale fra portate e temperature. Ciò è evidenziato dalle diverse strutture dei variogrammi diretti e dalle covarianze incrociate prossime a zero. Mediante correlogrami è stato dimostrato la possibilità di calcolare il tempo impiegato dal fluido termovettore per circolare all’interno della sonda. L’analisi geostatistica ha permesso quindi di studiare in dettaglio la sensitività dei risultati del TRT alle diverse condizioni al contorno, quelle legate al reservoir e quelle legate al funzionamento delle attrezzature

Design and optimization of turbo-expanders for organic rankine cycles

In a world focused on the need to produce energy for a growing population, while reducing atmospheric emissions of carbon dioxide, organic Rankine cycles represent a solution to fulfil this goal. This study focuses on the design and optimization of axial-flow turbines for organic Rankine cycles. From the turbine designer point of view, most of this fluids exhibit some peculiar characteristics, such as small enthalpy drop, low speed of sound, large expansion ratio. A computational model for the prediction of axial-flow turbine performance is developed and validated against experimental data. The model allows to calculate turbine performance within a range of accuracy of ±3%. The design procedure is coupled with an optimization process, performed using a genetic algorithm where the turbine total-to-static efficiency represents the objective function. The computational model is integrated in a wider analysis of thermodynamic cycle units, by providing the turbine optimal design. First, the calculation routine is applied in the context of the Draugen offshore platform, where three heat recovery systems are compared. The turbine performance is investigated for three competing bottoming cycles: organic Rankine cycle (operating cyclopentane), steam Rankine cycle and air bottoming cycle. Findings indicate the air turbine as the most efficient solution (total-to-static efficiency = 0.89), while the cyclopentane turbine results as the most flexible and compact technology (2.45 ton/MW and 0.63 m3/MW). Furthermore, the study shows that, for organic and steam Rankine cycles, the optimal design configurations for the expanders do not coincide with those of the thermodynamic cycles. This suggests the possibility to obtain a more accurate analysis by including the computational model in the simulations of the thermodynamic cycles. Afterwards, the performance analysis is carried out by comparing three organic fluids: cyclopentane, MDM and R245fa. Results suggest MDM as the most effective fluid from the turbine performance viewpoint (total-to-total efficiency = 0.89). On the other hand, cyclopentane guarantees a greater net power output of the organic Rankine cycle (P = 5.35 MW), while R245fa represents the most compact solution (1.63 ton/MW and 0.20 m3/MW). Finally, the influence of the composition of an isopentane/isobutane mixture on both the thermodynamic cycle performance and the expander isentropic efficiency is investigated. Findings show how the mixture composition affects the turbine efficiency and so the cycle performance. Moreover, the analysis demonstrates that the use of binary mixtures leads to an enhancement of the thermodynamic cycle performance.

Analysis of Lead-Acid batteries with a third-order dynamical model

Electrical energy storage is a really important issue nowadays. As electricity is not easy to be directly stored, it can be stored in other forms and converted back to electricity when needed. As a consequence, storage technologies for electricity can be classified by the form of storage, and in particular we focus on electrochemical energy storage systems, better known as electrochemical batteries. Largely the more widespread batteries are the Lead-Acid ones, in the two main types known as flooded and valve-regulated. Batteries need to be present in many important applications such as in renewable energy systems and in motor vehicles. Consequently, in order to simulate these complex electrical systems, reliable battery models are needed. Although there exist some models developed by experts of chemistry, they are too complex and not expressed in terms of electrical networks. Thus, they are not convenient for a practical use by electrical engineers, who need to interface these models with other electrical systems models, usually described by means of electrical circuits. There are many techniques available in literature by which a battery can be modeled. Starting from the Thevenin based electrical model, it can be adapted to be more reliable for Lead-Acid battery type, with the addition of a parasitic reaction branch and a parallel network. The third-order formulation of this model can be chosen, being a trustworthy general-purpose model, characterized by a good ratio between accuracy and complexity. Considering the equivalent circuit network, all the useful equations describing the battery model are discussed, and then implemented one by one in Matlab/Simulink. The model has been finally validated, and then used to simulate the battery behaviour in different typical conditions.

“Study of Electro-thermal Effects on PLA Materials Fed with AC Currents”

Given the rise in the emergence of new composite materials, their multifunctional properties, and possible applications in simple and complex structural components, there has been a need to unravel the characterization of these materials. The possibility of printing these conductive composite materials has opened a new area in the design of structural components which can conduct, transmit, and modulate electric signals with no limitation from complex geometry. Although several works have researched the behaviour of polymeric composites due to the immediate growth, however, the electrothermal behaviour of the material when subjected to varying AC applied voltage (Joule’s effect) has not been thoroughly researched. This study presents the characterization of the electrothermal behaviour of conductive composites of a polylactic acid matrix reinforced with conductive carbon black particles (CB-PLA). An understanding of this behaviour would contribute to the improved work in additive manufacturing of functional electro-mechanical conductive materials with potential application in energy systems, bioelectronics, etc. In this study, the electrothermal interplay is monitored under applied AC voltage, varying lengths, and filament printing orientations (longitudinal, oblique, and transverse). Each sample was printed using the fused deposition modeling technique such that each specimen has three different lengths (1L, 2L, 2.75L). To this end, deductions were made on properties that affect composite’s efficiency and life expectancy. The result of this study shows a great influence of printing orientation on material properties of 3D printed conductive composites of CB-PLA. The result also identifies the contribution of AC applied voltage to composites' stabilization time. This knowledge is important to provide experimental background for components' electrothermal interplay, estimate possible degradation and operating limits of composite structures when used in applications.

A multi-objective genetic algorithm optimisation using variable speed pumps in water distribution systems

Due to its practical importance and inherent complexity, the optimisation of distribution networks for supplying drinking water has been the subject of extensive study for the past 30 years. The optimization is governed by sizing the pipes in the water distribution network (WDN) and / or optimises specific parts of the network such as pumps, tanks etc. or try to analyse and optimise the reliability of a WDN. In this thesis, the author has analysed two different WDNs (Anytown City and Cabrera city networks), trying to solve and optimise a multi-objective optimisation problem (MOOP). The main two objectives in both cases were the minimisation of Energy Cost (€) or Energy consumption (kWh), along with the total Number of pump switches (TNps) during a day. For this purpose, a decision support system generator for Multi-objective optimisation used. Its name is GANetXL and has been developed by the Center of Water System in the University of Exeter. GANetXL, works by calling the EPANET hydraulic solver, each time a hydraulic analysis has been fulfilled. The main algorithm used, was a second-generation algorithm for multi-objective optimisation called NSGA_II that gave us the Pareto fronts of each configuration. The first experiment that has been carried out was the network of Anytown city. It is a big network with a pump station of four fixed speed parallel pumps that are boosting the water dynamics. The main intervention was to change these pumps to new Variable speed driven pumps (VSDPs), by installing inverters capable to diverse their velocity during the day. Hence, it’s been achieved great Energy and cost savings along with minimisation in the number of pump switches. The results of the research are thoroughly illustrated in chapter 7, with comments and a variety of graphs and different configurations. The second experiment was about the network of Cabrera city. The smaller WDN had a unique FS pump in the system. The problem was the same as far as the optimisation process was concerned, thus, the minimisation of the energy consumption and in parallel the minimisation of TNps. The same optimisation tool has been used (GANetXL).The main scope was to carry out several and different experiments regarding a vast variety of configurations, using different pump (but this time keeping the FS mode), different tank levels, different pipe diameters and different emitters coefficient. All these different modes came up with a large number of results that were compared in the chapter 8. Concluding, it should be said that the optimisation of WDNs is a very interested field that has a vast space of options to deal with. This includes a large number of algorithms to choose from, different techniques and configurations to be made and different support system generators. The researcher has to be ready to “roam” between these choices, till a satisfactory result will convince him/her that has reached a good optimisation point.

Design of alternative energy storage systems for hybrid vehicles based on statistical processing of driving cycles information

Hybrid vehicles represent the future for automakers, since they allow to improve the fuel economy and to reduce the pollutant emissions. A key component of the hybrid powertrain is the Energy Storage System, that determines the ability of the vehicle to store and reuse energy. Though electrified Energy Storage Systems (ESS), based on batteries and ultracapacitors, are a proven technology, Alternative Energy Storage Systems (AESS), based on mechanical, hydraulic and pneumatic devices, are gaining interest because they give the possibility of realizing low-cost mild-hybrid vehicles. Currently, most literature of design methodologies focuses on electric ESS, which are not suitable for AESS design. In this contest, The Ohio State University has developed an Alternative Energy Storage System design methodology. This work focuses on the development of driving cycle analysis methodology that is a key component of Alternative Energy Storage System design procedure. The proposed methodology is based on a statistical approach to analyzing driving schedules that represent the vehicle typical use. Driving data are broken up into power events sequence, namely traction and braking events, and for each of them, energy-related and dynamic metrics are calculated. By means of a clustering process and statistical synthesis methods, statistically-relevant metrics are determined. These metrics define cycle representative braking events. By using these events as inputs for the Alternative Energy Storage System design methodology, different system designs are obtained. Each of them is characterized by attributes, namely system volume and weight. In the last part the work, the designs are evaluated in simulation by introducing and calculating a metric related to the energy conversion efficiency. Finally, the designs are compared accounting for attributes and efficiency values. In order to automate the driving data extraction and synthesis process, a specific script Matlab based has been developed. Results show that the driving cycle analysis methodology, based on the statistical approach, allows to extract and synthesize cycle representative data. The designs based on cycle statistically-relevant metrics are properly sized and have satisfying efficiency values with respect to the expectations. An exception is the design based on the cycle worst-case scenario, corresponding to same approach adopted by the conventional electric ESS design methodologies. In this case, a heavy system with poor efficiency is produced. The proposed new methodology seems to be a valid and consistent support for Alternative Energy Storage System design.

Analysis of the impact of stationary energy storage systems in trolleybus grids using Simulink-based modelling

The voltage profile of the catenary between traction substations (TSSs) is affected by the trolleybus current intake and by its position with respect to the TSSs: the higher the current requested by the bus and the further the bus from the TSSs, the deeper the voltage drop. When the voltage drops below 500V, the trolleybus is forced to decrease its consumption by reducing its input current. This thesis deals with the analysis of the improvements that the installation of an BESS produces in the operation of a particularly loaded FS of the DC trolleybus network of the city of Bologna. The stationary BESS is charged by the TSSs during off-peak times and delivers the stored energy when the catenary is overloaded alleviating the load on the TSSs and reducing the voltage drops. Only IMC buses are considered in the prospect of a future disposal of all internal combustion engine vehicles. These trolleybuses cause deeper voltage drops because they absorb enough current to power their traction motor and recharge the on board battery. The control of the BESS aims to keep the catenary voltage within the admissible voltage range and makes sure that all physical limitations are met. A model of FS Marconi Trento Trieste is implemented in Simulink environment to simulate its daily operation and compare the behavior of the trolleybus network with and without BESS. From the simulation without BESS, the best location of the energy storage system is deduced, and the battery control is tuned. Furthermore, from the knowledge of the load curve and the battery control trans-characteristic, it is formulated a prediction of the voltage distribution at BESS connection point. The prediction is then compared with the simulation results to validate the Simulink model. The BESS allows to decrease the voltage drops along the catenary, the Joule losses and the current delivered by the TSSs, indicating that the BESS can be a solution to improve the operation of the trolleybus network.

Energy consumption of parallel algorithms for solving linear systems on HPC architecture

Modern High-Performance Computing HPC systems are gradually increasing in size and complexity due to the correspondent demand of larger simulations requiring more complicated tasks and higher accuracy. However, as side effects of the Dennard’s scaling approaching its ultimate power limit, the efficiency of software plays also an important role in increasing the overall performance of a computation. Tools to measure application performance in these increasingly complex environments provide insights into the intricate ways in which software and hardware interact. The monitoring of the power consumption in order to save energy is possible through processors interfaces like Intel Running Average Power Limit RAPL. Given the low level of these interfaces, they are often paired with an application-level tool like Performance Application Programming Interface PAPI. Since several problems in many heterogeneous fields can be represented as a complex linear system, an optimized and scalable linear system solver algorithm can decrease significantly the time spent to compute its resolution. One of the most widely used algorithms deployed for the resolution of large simulation is the Gaussian Elimination, which has its most popular implementation for HPC systems in the Scalable Linear Algebra PACKage ScaLAPACK library. However, another relevant algorithm, which is increasing in popularity in the academic field, is the Inhibition Method. This thesis compares the energy consumption of the Inhibition Method and Gaussian Elimination from ScaLAPACK to profile their execution during the resolution of linear systems above the HPC architecture offered by CINECA. Moreover, it also collates the energy and power values for different ranks, nodes, and sockets configurations. The monitoring tools employed to track the energy consumption of these algorithms are PAPI and RAPL, that will be integrated with the parallel execution of the algorithms managed with the Message Passing Interface MPI.