Industrial Thermal Insulation Properties above Sintering Temperatures

Processing highly flammable products, the oil and gas (O&G) industry can experience major explosions and fires, which may expose pressurized equipment to high thermal loads. In 2020, oil fires occurred at two Norwegian O&G processing plants. To reduce the escalation risk, passive fire protectionmay serve as a consequence-reducing barrier. For heat or cold conservation, equipment and piping often require thermal insulation, which may offer some fire protection. In the present study, a representative thermal insulation (certified up to 700 °C) was examined with respect to dimensional changes and thermal transport properties after heat treatment to temperatures in the range of 700 °C to 1200 °C. Post heat treatment, the thermal conductivity of each test specimen was recorded at ambient temperature and up to 700 _C, which was the upper limit for the applied measurement method. Based on thermal transport theory for porous and/or amorphous materials, the thermal conductivity at the heat treatment temperature above 700 °C was estimated by extrapolation. The dimensional changes due to, e.g., sintering, were also analyzed. Empirical equations describing the thermal conductivity, the dimensional changes and possible crack formation were developed. It should be noted that the thermal insulation degradation, especially at temperatures approaching 1200 °C, is massive. Thus, future numerical modeling may be difficult above 1150 °C, due to abrupt changes in properties as well as crack development and crack tortuosity. However, if the thermal insulation is protected by a thin layer of more robust material, e.g., passive fire protection to keep the thermal insulation at temperatures below 1100 °C, future modeling seems promising.publishedVersio

Contextual Language Model Adaptation for Conversational Agents

Statistical language models (LM) play a key role in Automatic Speech Recognition (ASR) systems used by conversational agents. These ASR systems should provide a high accuracy under a variety of speaking styles, domains, vocabulary and argots. In this paper, we present a DNN-based method to adapt the LM to each user-agent interaction based on generalized contextual information, by predicting an optimal, context-dependent set of LM interpolation weights. We show that this framework for contextual adaptation provides accuracy improvements under different possible mixture LM partitions that are relevant for both (1) Goal-oriented conversational agents where it's natural to partition the data by the requested application and for (2) Non-goal oriented conversational agents where the data can be partitioned using topic labels that come from predictions of a topic classifier. We obtain a relative WER improvement of 3% with a 1-pass decoding strategy and 6% in a 2-pass decoding framework, over an unadapted model. We also show up to a 15% relative improvement in recognizing named entities which is of significant value for conversational ASR systems.Comment: Interspeech 2018 (accepted

A flashing flow model for the rapid depressurization of CO2 in a pipe accounting for bubble nucleation and growth

Flashing flow is encountered in many industrial systems involving nozzles, valves and decompression of vessels and pipes. In the context of CO2 capture and storage (CCS), the design of safe and efficient CO2 transportation systems requires accurate flashing models, e.g., for safety analysis of pipe fractures and to predict the mass flow through relief valves. We propose a homogeneous flashing model (HFM) for flashing flow accounting for the underlying physical phenomena of the phase change: bubble nucleation, coalescence, break-up and growth. Homogeneous nucleation is modeled using classical nucleation theory and heterogeneous nucleation is approximated with constant rates of bubble creation and mass transfer from liquid to vapor. The flashing flow model is fitted for CO2 pipe depressurization data at various initial conditions. We find that the same, constant model parameters can be applied for the whole set of depressurization cases considered, as opposed to the conventional homogeneous relaxation model which typically is tuned on a case-by-case basis. For depressurization paths where the fluid state passes close to the critical point, we demonstrate that an accurate description of the flashing process along the length of the pipe can only be achieved when both homogeneous and heterogeneous nucleation are accounted for.publishedVersio

Modelling breakdown of industrial thermal insulation during fire exposure

The aging of many of the installations in the oil and gas industry may increase the likelihood of loss of containment of flammable substances, which could lead to major accidents. Flame temperatures in a typical hydrocarbon fire may reach 1100–1200 °C, which are associated with heat flux levels between 250 and 350 kW/m2. To limit or delay the escalation of an initial fire, passive fire protection (PFP) can be an effective barrier. Additionally, both equipment and piping may require thermal insulation for heat or cold conservation. Previous studies have investigated whether thermal insulation alone may protect the equipment for a required time period, e.g., until adequate depressurization is achieved. The present study entails the development of a numerical model for predicting the heat transport through a multi-layer wall of a distillation column exposed to fire. The outer surface is covered by stainless-steel weather protective cladding, followed by PFP, thermal insulation, and finally an inner column of carbon steel of variable thicknesses. The model for the breakdown of thermal insulation is based on observed dimensional changes and independent measurements of the thermal conductivity of the insulation after heat treatment. The calculated temperature profiles of thermally insulated carbon steel during fire exposure are compared to fire test results for carbon steel with thicknesses of 16, 12, 6 and 3 mm. The model's predictions agree reasonably well with the experiments. The degradation of the thermal insulation at temperatures above 1100 °C limits its applicability as fire protection, especially for low carbon-steel thickness. However, the model predicts that adding a 10-mm layer of more heat-resistant insulation (PFP) inside the fire-exposed cladding may considerably extend the time to breakdown of the thermal insulation.publishedVersio

An examination of the role of comparative advantages on Chinese outward foreign direct investment: the case of cross-border mergers & acquisitions and greenfield investments

Increasing outward foreign direct investment (OFDI) from China has attracted considerable academic attention. There is a growing discussion that Chinese OFDI is different from that of advanced countries. Existing research reveals the role of comparative advantage of home or host countries in determining patterns of countries’ OFDI. However, the literature has not adequately examined links between OFDI and the comparative advantage of China and host countries in the case of Chinese multinational corporations (MNEs). Consequently, this dissertation investigates the role of comparative advantage in explaining Chinese OFDI. The study reveals the complex, dynamic relationship between Chinese OFDI and comparative advantages by decomposing aggregate FDI and accounting for varying modalities: cross-border mergers and acquisitions (CBMAs) and greenfield investments (GIs), which previous literature has not addressed adequately. The study offers a parallel analysis of the role of comparative advantage in Chinese CBMAs and GIs and considers the One Belt One Road Initiative’s moderating effect. The dissertation drew on theoretical links between country-specific factors, countries’ comparative advantages, and firms’ ownership advantages. In synthesising these links, we explain the role of comparative advantage in Chinese OFDI and integrate the Ricardian theory of comparative advantage with existing international business theoretical frameworks. The empirical findings demonstrate that Chinese firms engaged in CBMAs emerge mostly from comparatively disadvantaged industries in China, while those engaged in GIs mostly emanate from comparatively advantaged industries in China. Chinese MNEs also invest in countries and industries in which host nations have a strong comparative advantage, regardless of modality. The comparative advantage of China and its host countries fulfil an influential role in developing and enhancing the ownership advantages of Chinese MNEs. In addition, our results suggests that OBOR initiative affects the activity of Chinese MNEs that conduct CBMAs. Specifically, we find evidence of the effect of China’s OBOR initiative on the relationship between Chinese CBMAs and comparative advantage of China. Under the Belt and Road initiative Chinese MNEs stimulated more Chinese CBMAs in related OBOR countries. The OBOR initiative alters the relationship between the industrial structure of Chinese CBMAs and the comparative advantage of China for OBOR and non-OBOR host countries